Encoding method and apparatus

ENCODING METHOD AND APPARATUS

TECHNICAL FIELD [0001] The present invention relates to the communications field, and in particular, to an encoding method and apparatus.

BACKGROUND [0002] An audio compressing technology is a core of multimedia application technologies such as digital audio broadcasting, and music dissemination and audio communication on the Internet. Transform coding is a commonly used method in the audio compressing technology. During transform coding, audio data is transformed 10 from a data domain to another data domain, so that a large amount of information in the audio data can be represented by using less data, which helps quantize the audio data to achieve an objective of efficient compression coding.

[0003] According to an existing transform coding algorithm, an encoder transforms an audio signal from a time domain to a frequency domain 15 (time-frequency transformation) to obtain spectral coefficients of the audio signal, splits the spectral coefficients into subbands, calculates and quantizes frequency envelopes of the subbands to obtain index values of quantized frequency envelopes of the subbands and values of the quantized frequency envelopes of the subbands, then, separately performs bit allocation for spectral coefficients of the subbands according 20 to the values of the quantized frequency envelopes of the subbands and a quantity of available bits, quantizes the spectral coefficients of the subbands according to the values of the quantized frequency envelopes of the subbands and quantities of bits allocated to the spectral coefficients of the subbands, and finally, writes the index values of the quantized frequency envelopes of the subbands and the quantized 25 spectral coefficients of the subbands into a bitstream and transmits the bitstream to a decoder.

[0004] However, when bit allocation is performed for the spectral coefficients of the subbands in the prior art, quantization bit allocation is performed for the spectral

2018200552 23 Jan 2018 coefficients of the subbands according to the values of the quantized frequency envelopes of the subbands, which may cause improper quantization bit allocation for spectral coefficients of some subbands, and cause low quality of a signal obtained by the decoder by means of decoding.

SUMMARY [0005] Embodiments of the present invention provide an encoding method and apparatus, which can perform proper quantization bit allocation for spectral coefficients of an audio signal, thereby improving quality of a signal obtained by a decoder by means of decoding.

[0006] To achieve the foregoing objective, the following technical solutions are used in the embodiments of the present invention:

[0007] According to a first aspect, an embodiment of the present invention provides an encoding method, including:

splitting spectral coefficients of a current data frame into subbands;

acquiring quantized frequency envelope values of the split subbands;

modifying quantized frequency envelope values of subbands of a first quantity in the split subbands;

allocating quantization bits to the split subbands according to modified quantized frequency envelope values of the subbands of the first quantity;

quantizing a spectral coefficient of a subband to which a quantization bit is allocated in the split subbands; and writing the quantized spectral coefficient of the subband to which a quantization bit is allocated into a bitstream.

[0008] In a first possible implementation manner of the first aspect, the modifying 25 quantized frequency envelope values of subbands of a first quantity in the subbands includes:

acquiring modification factors of the subbands of the first quantity; and modifying the quantized frequency envelope values of the subbands of the first quantity by using the acquired modification factors.

[0009] With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner, the acquiring modification factors of the subbands of the first quantity includes:

2018200552 23 Jan 2018 acquiring signal types of the subbands of the first quantity; and determining the modification factors of the subbands of the first quantity according to the acquired signal types.

[0010] With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner, where:

a modification factor of the first subband is greater than 1 when a signal type of a first subband in the subbands of the first quantity is harmonic; or a modification factor of the first subband is less than or equal to 1 when a signal type of a first subband in the subbands of the first quantity is non-harmonic.

[0011] With reference to the second possible implementation manner or the third possible implementation manner of the first aspect, in a fourth possible implementation manner, before the determining the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity, the method further includes:

acquiring stored reference information of subbands of a second quantity in a previous data frame of the current data frame, where the second quantity is less than or equal to the first quantity; and the determining the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity specifically 20 includes:

determining the modification factors of the subbands of the first quantity according to the acquired signal types and the acquired reference information.

[0012] With reference to the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner, the method of determining the 25 modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity and the reference information of the subbands of the second quantity includes:

determining a first modification factor of the first subband according to the signal type of the first subband in the subbands of the first quantity;

determining a second modification factor of the first subband according to reference information of a second subband, corresponding to the first subband, in the subbands of the second quantity; and using a product of the first modification factor and the second modification factor as the modification factor of the first subband.

2018200552 23 Jan 2018 [0013] With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner, where:

a value of the second modification factor is a value of a third modification factor when the reference information of the second subband includes a quantization 5 bit allocation status of the second subband; or a value of the second modification factor is a value of a fourth modification factor when the reference information of the second subband includes a signal type of the second subband; or a value of the second modification factor is a product of a value of a third modification factor and a value of a fourth modification factor when the reference information of the second subband includes a quantization bit allocation status of the second subband and a signal type of the second subband.

[0014] With reference to the sixth possible implementation manner of the first aspect, in a seventh possible implementation manner, when the quantization bit allocation status of the second subband indicates that no spectral coefficient is encoded, it is determined that the third modification factor is less than 1, or when the quantization bit allocation status of the second subband indicates that a spectral coefficient is encoded, it is determined that the third modification factor is greater than 1; and when the signal type of the second subband is harmonic, it is determined that the fourth modification factor is greater than 1, or when the signal type of the second subband is non-harmonic, it is determined that the fourth modification factor is less than or equal to 1.

[0015] With reference to the sixth possible implementation manner or the seventh possible implementation manner of the first aspect, in an eighth possible implementation manner, the second modification factor of the first subband is determined according to a ratio of any two values of a frequency envelope value of the second subband, an average frequency envelope value of the subbands of the second quantity, a bandwidth value of the subbands of the second quantity, a maximum value of frequency envelope values of the subbands of the second quantity, and a frequency envelope variance value of the subbands of the second quantity. [0016] With reference to any one of the fifth possible implementation manner to the seventh possible implementation manner of the first aspect, in a ninth possible implementation manner, the first modification factor of the first subband is

2018200552 23 Jan 2018 determined according to a ratio of any two values of a frequency envelope value of the first subband, an average frequency envelope value of the subbands of the first quantity, a bandwidth value of the subbands of the first quantity, a maximum value of frequency envelope values of the subbands of the first quantity, and a frequency 5 envelope variance value of the subbands of the first quantity.

[0017] With reference to the first possible implementation manner of the first aspect, in a tenth possible implementation manner, the acquiring modification factors of the subbands of the first quantity includes:

acquiring stored reference information of subbands of a first quantity in a 10 previous data frame of the current data frame; and determining the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame.

[0018] With reference to the tenth possible implementation manner of the first 15 aspect, in an eleventh possible implementation manner, before the determining the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame, the method further includes:

acquiring signal types of subbands of a third quantity in the subbands in 20 the current data frame, where the third quantity is less than or equal to the first quantity; and the determining the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame specifically includes:

determining the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame and the signal types of the subbands of the third quantity.

[0019] With reference to the eleventh possible implementation manner of the first 30 aspect, in a twelfth possible implementation manner, the method of determining the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame and the signal types of the subbands of the third quantity includes:

2018200552 23 Jan 2018 determining a second modification factor of a first subband in the subbands of the first quantity in the current data frame according to reference information of a second subband in the subbands of the first quantity in the previous data frame;

determining a first modification factor of the first subband according to a signal type of the first subband; and using a product of the first modification factor and the second modification factor as a modification factor of the first subband.

[0020] With reference to the first aspect or any one of the first possible 10 implementation manner to the twelfth possible implementation manner of the first aspect, in a thirteenth possible implementation manner, after the allocating quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity, the method further includes:

storing reference information of the subbands of the first quantity in the 15 current data frame.

[0021] According to a second aspect, an embodiment of the present invention provides an encoding apparatus, including:

an acquiring unit, configured to split spectral coefficients of a current data frame into subbands, and acquire quantized frequency envelope values of the split 20 subbands;

a modifying unit, configured to modify quantized frequency envelope values, acquired by the acquiring unit, of subbands of a first quantity in the split subbands;

an allocating unit, configured to allocate quantization bits to the split subbands according to quantized frequency envelope values, modified by the modifying unit, of the subbands of the first quantity;

a quantizing unit, configured to quantize a spectral coefficient of a subband to which a quantization bit is allocated by the allocating unit in the split subbands; and a multiplexing unit, configured to write the spectral coefficient, quantized by the quantizing unit, of the subband to which a quantization bit is allocated into a bitstream.

[0022] In a first possible implementation manner of the second aspect, the acquiring unit is further configured to acquire modification factors of

2018200552 23 Jan 2018 the subbands of the first quantity; and the modifying unit is further configured to modify, by using the modification factors of the subbands of the first quantity acquired by the acquiring unit, the quantized frequency envelope values, acquired by the acquiring unit, of the 5 subbands of the first quantity.

[0023] With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner, the encoding apparatus further includes a determining unit; where:

the acquiring unit is further configured to acquire signal types of the subbands of the first quantity; and the determining unit is configured to determine the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity acquired by the acquiring unit.

[0024] With reference to the second possible implementation manner of the 15 second aspect, in a third possible implementation manner, where:

a modification factor of the first subband is greater than 1 when a signal type, acquired by the acquiring unit, of a first subband in the subbands of the first quantity is harmonic; or a modification factor of the first subband is less than or equal to 1 when a signal type, acquired by the acquiring unit, of a first subband in the subbands of the first quantity is non-harmonic.

[0025] With reference to the second possible implementation manner or the third possible implementation manner of the second aspect, in a fourth possible implementation manner, the acquiring unit is further configured to acquire stored reference information of subbands of a second quantity in a previous data frame of the current data frame, where the second quantity is less than or equal to the first quantity; and the determining unit is specifically configured to determine the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity and the reference information of the subbands of the second quantity that are acquired by the acquiring unit.

[0026] With reference to the fourth possible implementation manner of the second aspect, in a fifth possible implementation manner, the determining unit is further configured to: determine a first modification

2018200552 23 Jan 2018 factor of the first subband according to the signal type, acquired by the acquiring unit, of the first subband in the subbands of the first quantity; determine a second modification factor of the first subband according to reference information, acquired by the acquiring unit, of a second subband, corresponding to the first subband, in the subbands of the second quantity; and use a product of the first modification factor and the second modification factor as the modification factor of the first subband.

[0027] With reference to the fifth possible implementation manner of the second aspect, in a sixth possible implementation manner, where:

a value of the second modification factor determined by the determining unit is a value of a third modification factor when the reference information of the second subband includes a quantization bit allocation status of the second subband; or a value of the second modification factor is a value of a fourth modification factor when the reference information of the second subband includes a signal type of the second subband; or a value of the second modification factor is a product of a value of a third modification factor and a value of a fourth modification factor when the reference information of the second subband includes a quantization bit allocation status of the second subband and a signal type of the second subband.

[0028] With reference to the sixth possible implementation manner of the second aspect, in a seventh possible implementation manner, the determining unit is further configured to: when the quantization bit allocation status of the second subband indicates that no spectral coefficient is encoded, determine that the third modification factor is less than 1, or when the quantization bit allocation status of the second subband indicates that a spectral coefficient is encoded, determine that the third modification factor is greater than 1; and when the signal type of the second subband acquired by the acquiring unit is harmonic, determine that the fourth modification factor is greater than 1, or when the signal type of the second subband acquired by the acquiring unit is non-harmonic, determine that the fourth modification factor is less than or equal to 1.

[0029] With reference to the sixth possible implementation manner or the seventh possible implementation manner of the second aspect, in an eighth possible implementation manner, the second modification factor of the first subband determined by the determining unit is determined according to a ratio of any two values of a frequency envelope value of the second subband, an average frequency

2018200552 23 Jan 2018 envelope value of the subbands of the second quantity, a bandwidth value of the subbands of the second quantity, a maximum value of frequency envelope values of the subbands of the second quantity, and a frequency envelope variance value of the subbands of the second quantity.

[0030] With reference to the fifth possible implementation manner to the seventh possible implementation manner of the second aspect, in a ninth possible implementation manner, the first modification factor of the first subband determined by the determining unit is determined according to a ratio of any two values of a frequency envelope value of the first subband, an average frequency envelope value 10 of the subbands of the first quantity, a bandwidth value of the subbands of the first quantity, a maximum value of frequency envelope values of the subbands of the first quantity, and a frequency envelope variance value of the subbands of the first quantity.

[0031] With reference to the first possible implementation manner of the second 15 aspect, in a tenth possible implementation manner, the acquiring unit is further configured to acquire reference information, stored in a storing unit, of subbands of a first quantity in a previous data frame of the current data frame; and the determining unit is further configured to determine the modification 20 factors of the subbands of the first quantity in the current data frame according to the reference information, acquired by the acquiring unit, of the subbands of the first quantity in the previous data frame.

[0032] With reference to the tenth possible implementation manner of the second aspect, in an eleventh possible implementation manner, the acquiring unit is further configured to acquire signal types of subbands of a third quantity in the subbands in the current data frame, where the third quantity is less than or equal to the first quantity; and the determining unit is specifically configured to: determine the modification factors of the subbands of the first quantity in the current data frame 30 according to the reference information of the subbands of the first quantity in the previous data frame and the signal types of the subbands of the third quantity that are acquired by the acquiring unit.

[0033] With reference to the eleventh possible implementation manner of the second aspect, in a twelfth possible implementation manner,

2018200552 23 Jan 2018 the determining unit is further configured to: determine a second modification factor of a first subband in the subbands of the first quantity in the current data frame according to reference information, acquired by the acquiring unit, of a second subband in the subbands of the first quantity in the previous data frame;

determine a first modification factor of the first subband according to a signal type of the first subband acquired by the acquiring unit; and use a product of the first modification factor and the second modification factor as a modification factor of the first subband.

[0034] With reference to the second aspect or any one of the first possible 10 implementation manner to the twelfth possible implementation manner of the second aspect, in a thirteenth possible implementation manner, the storing unit is further configured to store reference information of the subbands of the first quantity in the current data frame after the quantization bits are allocated to the subbands according to the modified quantized frequency envelope 15 values of the subbands of the first quantity.

[0034a] According to a third aspect, an embodiment of the present invention provides an audio signal encoding method, comprising:

splitting, by an encoder, spectral coefficients of a current frame of an audio signal into plurality of subbands;

quantizing, by the encoder, energy envelope for each of the plurality of subbands to obtain initial quantized energy envelope for each of the plurality of subbands;

adjusting, by the encoder, quantized energy envelopes of some subbands of the plurality of subbands, wherein the some subbands comprises a subband having a highest frequency in the plurality of subbands and a subband consecutive to the 25 subband having the highest frequency;

performing, by the encoder, bit allocation based on the adjusted quantized energy envelopes of the some subbands and the initial quantized energy envelope of each subband besides the some subbands in the plurality of subbands; and quantizing, by the encoder, a spectral coefficient of a subband to which at least one bit is allocated after the bit allocation, wherein the quantized spectral coefficient of the subband to which at least one bit is allocated after the bit allocation is used for writing into a bitstream.

[0034b] According to a fourth aspect, an embodiment of the present invention provides an audio signal encoder, comprising:

io

2018200552 04 Apr 2019 a memory; and a processor coupled to the memory and configured to:

split spectral coefficients of a current frame of an audio signal into plurality of subbands;

quantize energy envelope for each of the plurality of subbands to obtain initial quantized energy envelope for each of the plurality of subbands;

adjust quantized energy envelopes of some subbands of the plurality of subbands, wherein the some subbands comprises a subband having a highest frequency in the plurality of subbands and a subband consecutive to the subband having the highest 10 frequency;

perform bit allocation based on the adjusted quantized energy envelopes of the some subbands and the initial quantized energy envelope of each subband besides the some subbands in the plurality of subbands; and quantize a spectral coefficient of a subband to which at least one bit is allocated 15 after the bit allocation, wherein the quantized spectral coefficient of the subband to which at least one bit is allocated after the bit allocation is used for writing into a bitstream.

[0034c] According to a fifth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer 20 instructions, that when executed by one or more processors, cause the one or more processors to perform the steps of:

splitting spectral coefficients of a current frame of an audio signal into plurality of subbands;

quantizing energy envelope for each of the plurality of subbands to obtain 25 initial quantized energy envelope for each of the plurality of subbands;

adjusting quantized energy envelopes of some subbands of the plurality of subbands, wherein the some subbands comprises a subband having a highest frequency in the plurality of subbands and a subband consecutive to the subband having the highest frequency;

performing bit allocation based on the adjusted quantized energy envelopes of the some subbands and the initial quantized energy envelope of each subband besides the some subbands in the plurality of subbands; and quantizing a spectral coefficient of a subband to which at least one bit is allocated after the bit allocation, wherein the quantized spectral coefficient of the

2018200552 04 Apr 2019 subband to which at least one bit is allocated after the bit allocation is used for writing into a bitstream.

[0035] According to the encoding method and apparatus provided in the embodiments of the present invention, after splitting spectral coefficients of a current 5 data frame into subbands, an encoder acquires quantized frequency envelope values of the subbands; the encoder modifies quantized frequency envelope values of subbands of a first quantity in the subbands; the encoder allocates quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity; the encoder quantizes a spectral coefficient of a subband to which 10 a quantization bit is allocated in the subbands; and finally, the encoder writes the quantized spectral coefficient of the subband to which a quantization bit is allocated into a bitstream. According to this solution, before quantization bit allocation is performed for spectral coefficients of subbands in a current data frame of an audio signal, quantized frequency envelope values of the subbands in the current data frame 15 can be modified according to a signal type of the current data frame and information about a previous data frame; therefore, performing quantization bit allocation for the spectral coefficients of the subbands according to modified quantized frequency envelope values of the subbands and a quantity of available bits can achieve an objective of proper quantization bit allocation for spectral coefficients of an audio lla

2018200552 23 Jan 2018 signal, thereby improving quality of a signal obtained by a decoder by means of decoding.

BRIEF DESCRIPTION OF DRAWINGS [0036] To describe the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings required for describing the embodiments. Apparently, the accompanying drawings in the following description show merely some embodiments of the present invention, and a person of ordinary skill in the art may still derive other drawings from these accompanying drawings without creative efforts.

[0037] FIG 1 is a first flowchart of an encoding method according to an embodiment of the present invention;

[0038] FIG 2 is a second flowchart of an encoding method according to an embodiment of the present invention;

[0039] FIG 3 is a spectral diagram of an audio signal in an encoding method 15 according to an embodiment of the present invention;

[0040] FIG 4 is a first schematic structural diagram of an encoding apparatus according to an embodiment of the present invention;

[0041] FIG 5 is a second schematic structural diagram of an encoding apparatus according to an embodiment of the present invention;

[0042] FIG 6 is a third schematic structural diagram of an encoding apparatus according to an embodiment of the present invention; and [0043] FIG 7 is a schematic structural diagram of an encoder according to an embodiment of the present invention.

DESCRIPTION OF EMBODIMENTS [0044] The following clearly describes the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are merely some but not all of the embodiments of the present invention. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the

2018200552 23 Jan 2018 protection scope of the present invention.

Embodiment 1 [0045] This embodiment of the present invention provides an encoding method.

As shown in FIG. 1, the method may include the following steps:

[0046] S101. After an encoder splits spectral coefficients of a current data frame into subbands, the encoder acquires quantized frequency envelope values of the subbands.

[0047] An encoder (encoder) is a device that encodes data or a signal (for example, a bitstream) to convert the data or the signal into a signal that may be used 10 for communication, transmission, and storing. The encoder has different classifications in different technical fields. In the field of communications technologies, the encoder may include a video encoder, an audio encoder, and the like.

[0048] The encoder provided in this embodiment of the present invention may be an audio encoder. An audio encoder is a tool that may compress an analog audio 15 signal into a data encoding file, that is, an audio compression coding tool. Audio compression coding may be classified into voice signal compression coding and wideband audio signal compression coding. Voice signal compression coding is mainly used in digital phone communication. Wideband audio signal compression coding is mainly applied to sound in digital audio broadcasting, a VCD (Video 20 Compact Disc, video compact disc), a digital versatile disc (Digital Versatile Disc,

DVD), and a high definition television (High Definition Television, HDTV).

[0049] It should be noted that an audio signal may be transmitted to an encoder frame by frame in a data frame form. A data frame is a protocol data unit at a data link layer, and a data frame may include a frame header, a data part, and a frame trailer. 25 The frame header and the frame trailer include necessary control information such as synchronization information, address information, and error control information. The data part includes data transmitted from a network layer, for example, an IP (Internet Protocol, Internet Protocol) packet.

[0050] The encoder first splits the spectral coefficients of the current data frame 30 into the subbands, and then acquires the quantized frequency envelope values of the subbands.

[0051] Exemplarily, in the encoding method provided in this embodiment of the

2018200552 23 Jan 2018 present invention, it is assumed that the current data frame is the y^th data frame, and after the encoder splits the spectral coefficients of the current data frame, that is, the y^th data frame, into N subbands, the encoder separately acquires quantized frequency envelope values of the N subbands, where N>1, and y>l. The encoder obtains 5 frequency envelope values of the N subbands in the y^th data frame by calculating frequency envelopes of the N subbands in the y^th data frame; then the encoder quantizes the frequency envelope values to obtain index values of the quantized frequency envelopes of the N subbands in the y^th data frame, and re-creates frequency envelopes of the N subbands in the y^th data frame according to the index values of the 10 quantized frequency envelopes, so as to obtain the quantized frequency envelope values of the N subbands in the y^th data frame.

[0052] Quantization may include scalar quantization and vector quantization. Vector quantization is an efficient data compression technology that has advantages such as a large compression ratio, easy decoding, and a small distortion. The vector 15 quantization technology is widely used in image compression and voice encoding.

[0053] Optionally, vector quantization may include pyramid lattice vector quantization, spherical lattice vector quantization, and the like.

[0054] SI02. The encoder modifies quantized frequency envelope values of subbands of a first quantity in the subbands.

[0055] After the encoder acquires the quantized frequency envelope values of the subbands, the encoder modifies the quantized frequency envelope values of the subbands of the first quantity, where the subbands of the first quantity may be some subbands in the subbands.

[0056] In the encoding method provided in this embodiment of the present 25 invention, the encoder divides each data frame of a transmitted audio signal into subbands of a same quantity, that is, the current data frame and a previous data frame include subbands of a same quantity.

[0057] Specifically, after the encoder obtains the quantized frequency envelope values of the subbands in the current data frame, the encoder may modify the 30 quantized frequency envelope values of the subbands of the first quantity in the current data frame according to signal types of subbands in the current data frame and reference information of subbands in the previous data frame, or signal types of subbands in the current data frame, or reference information of subbands in the

2018200552 23 Jan 2018 previous data frame. In this embodiment of the present invention, the current data frame is adjacent to the previous data frame.

[0058] For example, assuming that a quantity of subbands in each frame is N, the encoder may modify the quantized frequency envelope values of the subbands of the 5 first quantity in the current data frame according to signal types of M subbands in the current data frame and/or reference information of L subbands in the previous data frame. A value of the first quantity is a larger value between M and L, where 1<M<N, and 1<L<N. In this embodiment of the present invention, the signal types of the M subbands in the current data frame include a signal type of each subband in the M 10 subbands, and the reference information of the L subbands in the previous data frame includes reference information of each subband in the L subbands.

[0059] A specific data frame dividing method and a specific modification manner are described in detail in a subsequent embodiment.

[0060] Optionally, a signal type of a subband may be harmonic or non-harmonic.

[0061] It may be understood that because the encoder modifies the quantized frequency envelope values of the subbands of the first quantity in the current data frame according to the signal types of the subbands in the current data frame and/or the reference information of the subbands in the previous data frame, modified quantized frequency envelope values of the subbands in the current data frame better 20 meet a characteristic of an audio signal, and spectral coefficients of the previous data frame are more continuous with the spectral coefficients of the current data frame.

[0062] SI03. The encoder allocates quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity.

[0063] After the encoder modifies the quantized frequency envelope values of the 25 subbands of the first quantity in the subbands, the encoder may perform quantization bit allocation for the subbands in the current data frame according to the modified quantized frequency envelope values of the subbands of the first quantity.

[0064] Specifically, after the encoder modifies the quantized frequency envelope values of the subbands of the first quantity in the current data frame, the encoder may 30 calculate initial values of importance of the subbands in the current data frame (importance of a subband may be measured by using a parameter such as energy or a frequency of the subband) according to the modified quantized frequency envelope values of the subbands of the first quantity in the current data frame, and then allocate

2018200552 23 Jan 2018 available bits to the subbands according to the initial values of importance of the subbands, where more bits are allocated to a subband of high importance, and fewer bits are allocated to a subband of low importance.

[0065] It should be noted that a quantity of available bits refers to a total quantity 5 of bits that are available in the current data frame. The quantity of available bits is determined according to a bit rate of the encoder. A larger bit rate of the encoder indicates a larger quantity of available bits.

[0066] It may be understood that after the quantized frequency envelope values of the subbands in the current data frame are modified, on one hand, because the 10 modified quantized frequency envelope values, used for quantization bit allocation, of the subbands in the current data frame better meet the characteristic of the audio signal, quantization bit allocation for the spectral coefficients of the subbands is more proper; on the other hand, because the modified quantized frequency envelope values of the subbands in the current data frame may make the spectral coefficients of the 15 previous data frame more continuous with the spectral coefficients of the current data frame, some discrete points on a spectrum during decoding by a decoder are reduced, so that the decoder can better complete decoding.

[0067] SI04. The encoder quantizes a spectral coefficient of a subband to which a quantization bit is allocated in the subbands.

[0068] After the encoder performs quantization bit allocation for the spectral coefficients of the subbands in the current data frame, the encoder quantizes the spectral coefficient of the subband to which a quantization bit is allocated in the subbands in the current data frame.

[0069] Specifically, after the encoder performs quantization bit allocation for the 25 spectral coefficients of the subbands in the current data frame, the encoder may perform normalization processing on the spectral coefficients of the subbands in the current data frame according to the modified quantized frequency envelope values of the subbands in the current data frame, and then quantize the spectral coefficients of the subbands in the current data frame according to quantities of bits separately 30 allocated by the encoder to spectral coefficients of subbands to which quantization bits are allocated in the subbands in the current data frame.

[0070] Exemplarily, it is assumed that the current data frame is the y^th data frame, the previous data frame is the (y-l)^th data frame, and the encoder divides each data frame into N subbands. When quantizing, according to a quantity of bits allocated to

2018200552 23 Jan 2018 the spectral coefficient of the subband to which a quantization bit is allocated in the N subbands in the y^th data frame, the spectral coefficient of the subband to which a quantization bit is allocated in the N subbands in the y^th data frame, the encoder may use a pyramid lattice vector quantization method to quantize a spectral coefficient of a 5 subband to which fewer bits are allocated, so as to obtain the quantized spectral coefficient of the subband to which fewer bits are allocated; correspondingly, the encoder may use a spherical lattice vector quantization method to quantize a spectral coefficient of a subband to which more bits are allocated, so as to obtain the quantized spectral coefficient of the subband to which more bits are allocated.

[0071] It should be noted that there may be a subband to which no quantization bit is allocated in the subbands in the current data frame. In this embodiment of the present invention, the encoder quantizes a spectral coefficient of a subband to which a quantization bit is allocated in the subbands in the current data frame. Specifically, if a quantization bit is allocated to a subband, the quantization bit allocated to the subband 15 is used to quantize a spectral coefficient of the subband. For example, two quantization bits are allocated to a subband, the two quantization bits are used to quantize a spectral coefficient of the subband; three bits are allocated to another subband, the three quantization bits are used to quantize a spectral coefficient of the another subband; if no quantization bit is allocated to a subband, a spectral coefficient 20 of the subband to which no quantization bit is allocated is not quantized.

[0072] SI05. The encoder writes the quantized spectral coefficient of the subband to which a quantization bit is allocated into a bitstream.

[0073] After the encoder quantizes the spectral coefficient of the subband to which a quantization bit is allocated in the current data frame, the encoder needs to 25 write the quantized spectral coefficient of the subband to which a quantization bit is allocated into the bitstream, so that the decoder uses the bitstream to perform decoding.

[0074] Specifically, after the encoder quantizes the spectral coefficient of the subband to which a quantization bit is allocated in the current data frame, the encoder 30 writes the quantized spectral coefficient of the subband to which a quantization bit is allocated, the signal types of the subbands in the current data frame, the reference information of the subbands in the previous data frame, and quantization frequency envelope index values of the subbands in the current data frame into the bitstream, and transmits the bitstream to the decoder for decoding.

2018200552 23 Jan 2018 [0075] It should be noted that for each data frame of an audio signal, the encoder performs encoding according to the foregoing steps S101 to SI05, that is, the encoder repeatedly executes S101 to SI05 until all data frames of the audio signal are encoded.

[0076] It may be understood that after the encoder calculates, quantizes, and modifies each data frame of a to-be-encoded audio signal, the encoder needs to write corresponding parameters such as the signal types of the subbands in the current data frame, the reference information of the subbands in the previous data frame, and the quantization frequency envelope index values of the subbands in the current data 10 frame that are obtained in the foregoing process and the quantized spectral coefficient of the subband to which a quantization bit is allocated in the current data frame into the bitstream, and transmit the bitstream to the decoder, so that the decoder can perform processing such as dequantization and denormalization on the bitstream of an encoded audio signal according to the corresponding parameters obtained during 15 encoding, and then the encoder obtains, after completing decoding, the audio signal before being encoded.

[0077] According to the encoding method provided in this embodiment of the present invention, after splitting spectral coefficients of a current data frame into subbands, an encoder acquires quantized frequency envelope values of the subbands; 20 the encoder modifies quantized frequency envelope values of subbands of a first quantity in the subbands; the encoder allocates quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity; the encoder quantizes a spectral coefficient of a subband to which a quantization bit is allocated in the subbands; and finally, the encoder writes the 25 quantized spectral coefficient of the subband to which a quantization bit is allocated into a bitstream. According to this solution, before quantization bit allocation is performed for spectral coefficients of subbands in a current data frame of an audio signal, quantized frequency envelope values of the subbands can be modified according to a signal type of the current data frame and information about a previous 30 data frame; therefore, performing quantization bit allocation for the spectral coefficients of the subbands according to modified quantized frequency envelope values of the subbands and a quantity of available bits can achieve an objective of proper quantization bit allocation for spectral coefficients of an audio signal, thereby improving quality of a signal obtained by a decoder by means of decoding.

2018200552 23 Jan 2018

Embodiment 2 [0078] This embodiment of the present invention provides an encoding method. In the encoding method provided in this embodiment of the present invention, that a current data frame is the y^th data frame and a previous data frame is the (y- l)^th data 5 frame is used as an example for description, where y>l. As shown in FIG. 2, the method may include the following steps:

[0079] S201. An encoder performs time-frequency transformation on the y^th data frame of an audio signal to obtain spectral coefficients of the y^th data frame, where y>l.

[0080] An encoder is a device that encodes data or a signal (for example, a bitstream) to convert the data or the signal into a signal that may be used for communication, transmission, and storing. The encoder has different classifications in different technical fields. In the field of communications technologies, the encoder may include a video encoder, an audio encoder, and the like.

[0081] The encoder provided in this embodiment of the present invention may be an audio encoder. An audio encoder is a tool that may compress an analog audio signal into a data encoding file, that is, an audio compression coding tool. Audio compression coding may be classified into voice signal compression coding and wideband audio signal compression coding. Voice signal compression coding is mainly used in digital phone communication. Wideband audio signal compression coding is mainly applied to sound in digital audio broadcasting, a VCD, a DVD, and an HDTV.

[0082] Time-frequency transformation refers to transforming a signal from a time domain to a frequency domain. Currently, commonly used time-frequency 25 transformation methods include discrete Fourier transform (Discrete Fourier Transform, DFT), discrete cosine transform (Discrete Cosine Transform, DCT), modified discrete cosine transform (Modified Discrete Cosine Transform, MDCT), and the like.

[0083] It should be noted that an audio signal may be transmitted to an encoder 30 frame by frame in a data frame form. A data frame is a protocol data unit at a data link layer, and a data frame may include a frame header, a data part, and a frame trailer. The frame header and the frame trailer include necessary control information such as synchronization information, address information, and error control information. The

2018200552 23 Jan 2018 data part includes data transmitted from a network layer, for example, an IP packet. [0084] The encoder transforms the y^th data frame of the audio signal from a time domain to a frequency domain by using a time-frequency transformation method, so as to obtain the spectral coefficients of the y^th data frame. It may be understood that in 5 an encoding process, the encoder successively transforms each data frame of the audio signal from the time domain to the frequency domain.

[0085] S202. The encoder splits the spectral coefficients of the y^th data frame into

N subbands, where N>1.

[0086] A subband refers to a frequency band that has a specific characteristic.

[0087] In the encoding method provided in this embodiment of the present invention, after the encoder performs time-frequency transformation on the audio signal, the encoder divides each data frame of the audio signal obtained after time-frequency transformation into N subbands, that is, the encoder divides any transmitted data frame into N subbands. Therefore, the y^th data frame and the (y-l)^th15 data frame have the same quantity of subbands, which is N.

[0088] Subbands in the y^th data frame are different frequency bands in the y^th data frame. Exemplarily, if the spectral coefficients of the y^th data frame are from 0 to 8000 Hz, a frequency band from 0 to 20 Hz is one subband in the y^th data frame.

[0089] Optionally, during subband dividing, the spectral coefficients of the 20 transformed y^th data frame may be split into subbands with equal intervals, or the spectral coefficients of the transformed y^th data frame may be split into subbands with unequal intervals according to auditory sensing characteristics. Splitting may be performed according to an actual splitting requirement, which is not limited in the present invention.

[0090] S203. The encoder acquires quantized frequency envelope values of the N subbands in the y^th data frame.

[0091] Quantization may include scalar quantization and vector quantization. Vector quantization is an efficient data compression technology that has advantages such as a large compression ratio, easy decoding, and a small distortion. The vector 30 quantization technology is widely used in image compression and voice encoding.

[0092] The encoder obtains frequency envelope values of the N subbands in the y^th data frame by calculating frequency envelopes of the N subbands in the y^th data frame; then the encoder quantizes the frequency envelope values to obtain index

2018200552 23 Jan 2018 values of quantized frequency envelopes of the N subbands in the y^th data frame, and re-creates frequency envelopes of the N subbands in the y^th data frame according to the index values of the quantized frequency envelopes, so as to obtain the quantized frequency envelope values of the N subbands in the y^th data frame.

[0093] Optionally, vector quantization may include pyramid lattice vector quantization, spherical lattice vector quantization, and the like.

[0094] S204. The encoder acquires modification factors of subbands of a first quantity in the y^th data frame.

[0095] In this embodiment of the present invention, preferably, when modifying the quantized frequency envelope values of the N subbands in the y^th data frame, the encoder needs to modify, according to importance of the subbands in the y^th data frame, only several subbands that have high importance in the y^th data frame, that is, several subbands that have higher energy in the y^th data frame, that is, several subbands that have higher frequencies in the y^th data frame. Considering continuity between adjacent data frames, a specific value of the first quantity of subbands to be modified in the y^th data frame is determined according to a quantity M of subbands that have higher frequencies and are selected from the y^th data frame and a quantity L of subbands that have higher frequencies and are selected from the (y-1 )^th data frame, that is, the value of the first quantity is a larger value between M and L, where 20 1<M<N, and 1<L<N.

[0096] Particularly, a method for selecting the M subbands that have higher frequencies in the y^th data frame or the L subbands that have higher frequencies in the (y—l)^th data frame is: the encoder may select a reference frequency, and when a start frequency of a subband is higher than the reference frequency, the subband is a 25 subband that has a higher frequency. The reference frequency may be 5 kHz, 5.45 kHz, 5.8 kHz, 6 kHz, 6.2 kHz, 7 kHz, 8 kHz, or 10 kHz, that is, selection of a subband that has a higher frequency may be set according to different conditions, which is not limited in the present invention.

[0097] Further, in this embodiment of the present invention, selection of the 30 reference frequency may be determined according to a highest frequency of a subband in the current data frame and a preset frequency range. That is, a reference frequency = the highest frequency - a frequency range. For example, if the preset frequency range is 2 kHz, and the highest frequency of the subband in the current data frame is

2018200552 23 Jan 2018

7.45 kHz, the reference frequency = 7.45 kHz - 2 kHz = 5.45 kHz; if the preset frequency range is 3 kHz, and the highest frequency of the subband in the current data frame is 9.2 kHz, the reference frequency = 9.2 kHz - 3 kHz = 6.2 kHz. It may be understood that the preset frequency range may be set according to a requirement or 5 experience.

[0098] Further, the encoder may modify the M or L subbands in the y^th data frame. As shown in FIG. 3, the M subbands in the y^th data frame are M consecutive subbands starting from a subband that has a highest frequency in the N subbands in the y^th data frame, and the L subbands in the (y-l)^th data frame are L consecutive 10 subbands starting from a subband that has a highest frequency in the N subbands in the (y-1 )^th data frame.

[0099] A case in which M>L is used for description in the following.

[0100] If M>L, the first quantity is M; if a quantity of the L subbands in the (y—l)^th data frame is referred to as a second quantity, and the second quantity is less 15 than or equal to the first quantity, subbands of a second quantity in the (y-l)^th data frame are the L subbands in the (y-l)^th data frame. A method for acquiring, by the encoder, the modification factors of the subbands of the first quantity in the y^th data frame includes: determining, by the encoder, the modification factors of the subbands of the first quantity in the y^th data frame according to signal types of the subbands of 20 the first quantity in the y^th data frame; or determining, by the encoder, the modification factors of the subbands of the first quantity in the y^th data frame according to signal types of the subbands of the first quantity in the y^th data frame and reference information of the subbands of the second quantity in the (y-1 )^th data frame.

[0101] Specifically, the encoder selects a corresponding calculation formula 25 according to a signal type of each subband in the M subbands in the y^th data frame to determine a value of a modification factor corresponding to each subband in the M subbands; or the encoder selects a corresponding calculation formula according to a signal type of each subband in the M subbands in the y^th data frame and reference information of the L subbands in the (y-l)^th data frame to determine a modification 30 factor corresponding to each subband in the M subbands in the y^th data frame.

[0102] It should be noted that the signal types of the M subbands in the y^th data frame include a signal type of each subband in the M subbands, and each subband in the M subbands is corresponding to a modification factor.

2018200552 23 Jan 2018 [0103] Further, a method for acquiring, by the encoder, the modification factors of the M subbands in the y^th data frame is as follows:

[0104] (1) The encoder selects the corresponding calculation formula according to the signal type of each subband in the M subbands in the y^th data frame to determine 5 the value of the modification factor corresponding to each subband in the M subbands in the y^th data frame.

[0105] Optionally, a signal type of a subband may be harmonic or non-harmonic. When a signal type of a first subband in the subbands of the first quantity in the y^thdata frame is harmonic, the encoder determines that a modification factor of the first 10 subband is greater than 1; when a signal type of a first subband in the subbands of the first quantity in the y^th data frame is non-harmonic, the encoder determines that a modification factor of the first subband is less than or equal to 1. That is, if the signal type of the first subband in the M subbands in the y^th data frame is harmonic, the encoder determines that the modification factor corresponding to the first subband is a 15 value greater than 1; or if the signal type of the first subband is non-harmonic, the encoder determines that the modification factor corresponding to the first subband is a value less than or equal to 1.

[0106] Specifically, the modification factor of the first subband is determined according to a ratio of any two values of a frequency envelope value of the first 20 subband, an average frequency envelope value of the subbands of the first quantity, a bandwidth value of the subbands of the first quantity, a maximum value of frequency envelope values of the subbands of the first quantity, and a frequency envelope variance value of the subbands of the first quantity. That is, the modification factor of the first subband is determined according to a ratio of any two values of the frequency 25 envelope value of the first subband, an average frequency envelope value of the M subbands, a bandwidth value of the M subbands, a maximum value of frequency envelope values of the M subbands, and a frequency envelope variance value of the M subbands. A specific combination form may be selected according to the signal type of the first subband, that is, a corresponding formula may be selected according to the 30 signal type of the first subband to calculate the modification factor.

[0107] A first formula is as follows:

bandlength * Ep tmpfi] * Ep vari

Epavrg² z>l (i)

2018200552 23 Jan 2018

<img file="AU2018200552B2_D0001.tif" />

where bandlength _a q_uan^y _of subbands between a subband, except the M subbands, in the N subbands and the i^th subband in the M subbands.

Ep[i] band widthfi] , _wh_ere Ep[i] _energy _of fh subband,

Ep_tmp[i] _a f_req_uenCy envelope value of the i^th subband, and band_width[i] _a5 bandwidth of the i^th subband.

N

Ep vari = Ep tmpfi] - Ep_tmp[i-1] | .

' , where Ep van _a f_req_uenCy envelope variance of a frequency band.

N

Epavrg - £ Ep tmpfi] ' , where ^bP_^avrg j_s an average frequency envelope value of several subbands in a frequency band.

[0108] A second formula is as follows:

factor (1) = 1.0 (2) [0109] Exemplarily, if the signal type of the first subband is harmonic, the first formula is selected, and a value, obtained by means of calculation, of the modification factor corresponding to the first subband is greater than 1; if the signal type of the first 15 subband is non-harmonic, the second formula is selected, and a value, obtained by means of calculation, of the modification factor corresponding to the first subband is less than or equal to 1.

[0110] It may be understood that if the signal type of the first subband is harmonic, to better restore a harmonic characteristic of the first subband during decoding, a 20 relatively large quantity of bits needs to be allocated to the first subband. That is, when the signal type of the first subband is harmonic, after it is determined that the modification factor corresponding to the first subband is a value greater than 1, a modified quantized frequency envelope value of the first subband is greater than an unmodified quantized frequency envelope value of the first subband, and then a 25 relatively large quantity of bits is allocated to the first subband.

[0111] It should be noted that a method for acquiring a modification factor of each subband in the subbands of the first quantity in the y^th data frame is the same as the foregoing method for acquiring the modification factor of the first subband.

[0112] (2) The encoder selects the corresponding calculation formula according to

2018200552 23 Jan 2018 the signal type of each subband in the M subbands in the y^th data frame and the reference information of the L subbands in the (y-l)^th data frame to determine the modification factor corresponding to each subband in the M subbands in the y^th data frame.

[0113] It should be noted that M>L, the encoder determines M first modification factors according to the signal type of each subband in the M subbands in the y^th data frame, and the encoder determines L second modification factors according to the reference information of the L subbands in the (y-l)^th data frame. L first modification factors in the M first modification factors and the L second modification factors are used to correspondingly modify quantized frequency envelope values of L subbands in the M subbands in the y^th data frame, and the encoder correspondingly modifies quantized frequency envelope values of M-L remaining subbands in the M subbands in the y^th data frame according to M-L remaining first modification factors in the M first modification factors.

[0114] Specifically, the first subband in the y^th data frame is described. If the first subband in the y^th data frame has corresponding reference information of a second subband in the (y- l)^th data frame, the encoder determines a first modification factor of the first subband according to the signal type of the first subband in the y^th data frame, and the encoder determines a second modification factor of the first subband according to the reference information of the second subband, corresponding to the first subband in the y^th data frame, in the subbands of the second quantity in the (y—l)^th data frame, and finally uses a product of the first modification factor and the second modification factor as the modification factor of the first subband. If the first subband in the y^th data frame does not have corresponding reference information of a second subband in the (y-l)^th data frame, the encoder determines a first modification factor of the first subband according to the signal type of the first subband in the y^thdata frame, where the modification factor of the first subband is the first modification factor.

[0115] It should be noted that when the encoder selects a corresponding calculation formula according to the signal type of each subband in the M subbands in the y^th data frame to determine a value of the first modification factor corresponding to each subband in the M subbands, the value of the first modification factor is determined by using the method for determining the modification factor in (1), that is,

2018200552 23 Jan 2018 the modification factor in (1) is the first modification factor herein.

[0116] It should be noted that the reference information of the L subbands in the (y—l)^th data frame includes reference information of each subband in the L subbands. [0117] Further, before the encoder determines the modification factors of the subbands of the first quantity in the y^th data frame according to the signal types of the subbands of the first quantity in the y^th data frame, the encoder needs to first acquire the signal types of the subbands of the first quantity in the y^th data frame; before the encoder determines modification factors of the subbands of the second quantity in the (y—l)^th data frame according to the reference information of the subbands of the second quantity in the (y-l)^th data frame, the encoder needs to first acquire the stored reference information of the subbands of the second quantity in the (y-1 )^th data frame, where the reference information of the subbands of the second quantity in the (y-l)^thdata frame is stored when the encoder completes encoding of the (y-1 )^th data frame. [0118] Optionally, the reference information of the second subband in the (y-l)^th data frame includes a quantization bit allocation status of the second subband and/or a signal type of the second subband.

[0119] When the reference information of the second subband includes the quantization bit allocation status of the second subband, the second modification factor is a third modification factor; or when the reference information of the second 20 subband includes the signal type of the second subband, the second modification factor is a fourth modification factor; or when the reference information of the second subband includes the quantization bit allocation status of the second subband and the signal type of the second subband, the second modification factor is a product of the third modification factor and the fourth modification factor.

[0120] Specifically, the reference information of the L subbands in the (y-1 )^th data frame includes quantization bit allocation statuses of the L subbands in the (y—l)^thdata frame and/or signal types of the L subbands in the (y-l)^th data frame. When the reference information of the L subbands in the (y-l)^th data frame includes the quantization bit allocation statuses of the L subbands in the (y-l)^th data frame, the 30 second modification factor is a third modification factor; or when the reference information of the L subbands in the (y-l)^th data frame includes the signal types of the L subbands in the (y-l)^th data frame, the second modification factor is a fourth modification factor; or when the reference information of the L subbands in the (y—l)^th data frame includes the quantization bit allocation statuses of the L subbands

2018200552 23 Jan 2018 in the (y-l)^th data frame and the signal types of the L subbands in the (y-l)^th data frame, the second modification factor is a product of the third modification factor and the fourth modification factor.

[0121] Preferably, the second modification factor is the product of the third 5 modification factor and the fourth modification factor.

[0122] The encoder may select a corresponding calculation formula according to a quantization bit allocation status of each subband in the L subbands in the (y-l)^th data frame to determine a value of a third modification factor corresponding to each subband in the L subbands, select a corresponding calculation formula according to a 10 signal type of each subband in the L subbands in the (y-l)^th data frame to determine a value of a fourth modification factor corresponding to each subband in the L subbands, and determine, according to the third modification factor and/or the fourth modification factor corresponding to each subband in the L subbands, a value of a second modification factor corresponding to each subband in the L subbands.

[0123] Optionally, if the quantization bit allocation status of the second subband in the L subbands in the (y-l)^th data frame indicates that a spectral coefficient is encoded, the encoder determines that a third modification factor corresponding to the second subband is a value greater than 1; or if the quantization bit allocation status of the second subband indicates that no spectral coefficient is encoded, the encoder 20 determines that a third modification factor corresponding to the second subband is a value less than 1. If the signal type of the second subband is harmonic, the encoder determines that a fourth modification factor corresponding to the second subband is a value greater than 1; or if the signal type of the second subband is non-harmonic, the encoder determines that a fourth modification factor corresponding to the second 25 subband is a value less than or equal to 1.

[0124] It should be noted that when the quantization bit allocation status of the second subband in the L subbands in the (y-l)^lh data frame is 1, it indicates that a spectral coefficient is encoded; when the quantization bit allocation status of the second subband in the L subbands in the (y-1 )^th data frame is 0, it indicates that no 30 spectral coefficient is encoded. Herein, a method for acquiring the fourth modification factor is the same as the foregoing method for acquiring the modification factor in (1). [0125] Specifically, the second modification factor of the first subband is determined according to a ratio of any two values of a frequency envelope value of the second subband, an average frequency envelope value of the subbands of the

2018200552 23 Jan 2018 second quantity, a bandwidth value of the subbands of the second quantity, a maximum value of frequency envelope values of the subbands of the second quantity, and a frequency envelope variance value of the subbands of the second quantity. A specific combination form may be selected according to the reference information of 5 the second subband, that is, a corresponding formula is selected according to the quantization bit allocation status of the second subband and/or the signal type of the second subband to calculate the third modification factor and the fourth modification factor.

[0126] A third formula is as follows:

(.) _ Epavrg * Ep_tmp[i] * Epavrg

IQ bandlength />1 where bandlength |_{s a} q_uanq^y _of subbands between a subband, except the L subbands, in the N subbands and the i^th subband in the L subbands.

[0127] A fourth formula is as follows:

„ ... bandlength

Jactor (i) =-----------------------------Ep avrg * Ep_tmp[i] * Ep avrg j > 1 0) where bandlength |_{s a} q_uanq^y _of subbands between a subband, except the L subbands, in the N subbands and the i^th subband in the L subbands.

[0128] Exemplarily, if the quantization bit allocation status of the second subband is 1, the third formula is selected, and a value, obtained by means of calculation, of the third modification factor corresponding to the second subband is greater than 1; if 20 the quantization bit allocation status of the second subband is 0, the fourth formula is selected, and a value, obtained by means of calculation, of the third modification factor corresponding to the second subband is less than 1.

[0129] If the signal type of the second subband is harmonic, the first formula is selected, and a value, obtained by means of calculation, of the fourth modification 25 factor corresponding to the second subband is greater than 1; if the signal type of the second subband is non-harmonic, the second formula is selected, and a value, obtained by means of calculation, of the fourth modification factor corresponding to the second subband is less than or equal to 1.

[0130] It may be understood that if the quantization bit allocation status of the 30 second subband in the (y-l)^th data frame is 1, to better maintain continuity between adjacent data frames of an audio signal during encoding, it indicates that a relatively

2018200552 23 Jan 2018 large quantity of bits is allocated to the second subband. That is, when the quantization bit allocation status of the second subband is 1, after it is determined that the third modification factor corresponding to the second subband is a value greater than 1, a modified quantized frequency envelope value of a subband, 5 corresponding to the second subband, in the y^th data frame is greater than an unmodified quantized frequency envelope value of the subband, corresponding to the second subband, in the y^th data frame, and then a relatively large quantity of bits is allocated to the subband.

[0131] It should be noted that a method for acquiring a modification factor of 10 each subband in the subbands of the first quantity in the y^th data frame is the same as the foregoing method for acquiring the modification factor of the first subband.

[0132] A case in which M&lt;L is used for description in the following.

[0133] If M&lt;L, a value of the first quantity is L; if a quantity of the M subbands in the y^th data frame is referred to as a third quantity, subbands of a third quantity in the 15 y^th data frame are the M subbands in the y^th data frame. The method for acquiring, by the encoder, the modification factors of the subbands of the first quantity in the y^thdata frame includes: determining the modification factors of the subbands of the first quantity in the y^th data frame according to reference information of subbands of the first quantity in the (y-l)^th data frame; or determining, by the encoder, the 20 modification factors of the subbands of the first quantity in the y^th data frame according to reference information of subbands of the first quantity in the (y-l)^th data frame and signal types of the subbands of the third quantity in the y^th data frame.

[0134] Specifically, the encoder selects a corresponding calculation formula according to reference information of each subband in the L subbands in the (y-l)^th25 data frame to determine a value of a modification factor corresponding to each subband in the L subbands in the y^th data frame; or the encoder selects a corresponding calculation formula according to a signal type of each subband in the M subbands in the y^th data frame and reference information of the L subbands in the (y—l)^th data frame to determine a modification factor corresponding to each subband 30 in the L subbands in the y^th data frame.

[0135] Further, a method for acquiring, by the encoder, the modification factors of the L subbands in the y^th data frame is as follows:

[0136] (1) The encoder selects the corresponding calculation formula according to

2018200552 23 Jan 2018 the reference information of each subband in the L subbands in the (y-l)^th data frame to determine the value of the modification factor corresponding to each subband in the L subbands in the y^th data frame.

[0137] Further, before the encoder determines modification factors of the subbands of the third quantity in the y^th data frame according to the signal types of the subbands of the third quantity in the y^th data frame, the encoder needs to first acquire the signal types of the subbands of the third quantity in the y^th data frame; before the encoder determines modification factors of the subbands of the first quantity in the (y—l)^th data frame according to the reference information of the subbands of the first 10 quantity in the (yl )^th data frame, the encoder needs to first acquire the stored reference information of the subbands of the first quantity in the (y-l)^th data frame, where the reference information of the subbands of the first quantity in the (y-l)^thdata frame is stored when the encoder completes encoding of the (y-1 )^th data frame.

[0138] It should be noted that when the encoder selects the corresponding 15 calculation formula according to the reference information of each subband in the L subbands in the (y-l)^th data frame to determine the value of the modification factor corresponding to each subband in the L subbands in the y^th data frame, the value of the modification factor is determined by using the method for determining the foregoing second modification factor in (2) in which M>L, that is, the foregoing 20 second modification factor in (2) in which M>L is the modification factor herein.

[0139] (2) The encoder selects the corresponding calculation formula according to the signal type of each subband in the M subbands in the y^th data frame and the reference information of the L subbands in the (y-l)^th data frame to determine the modification factor corresponding to each subband in the L subbands in the y^th data 25 frame.

[0140] It should be noted that M&lt;L, the encoder determines M first modification factors according to the signal type of each subband in the M subbands in the y^th data frame, and the encoder determines L second modification factors according to the reference information of the L subbands in the (y-l)^th data frame. M second 30 modification factors in the L second modification factors and the M first modification factors are used to correspondingly modify quantized frequency envelope values of M subbands in the L subbands in the y^th data frame, and the encoder correspondingly modifies quantized frequency envelope values of L-M remaining subbands in the L

2018200552 23 Jan 2018 subbands in the y^th data frame according to L-M remaining second modification factors in the L second modification factors.

[0141] Specifically, a first subband in the y^th data frame is described. If a second subband in the (y-l)^th data frame has a corresponding signal type of the first subband 5 in the y^th data frame, the encoder determines a second modification factor of the first subband in the L subbands in the y^th data frame according to the reference information of the second subband in the L subbands in the (y-l)^th data frame, and the encoder determines a first modification factor of the first subband according to the signal type of the first subband in the y^th data frame, and finally uses a product of the first 10 modification factor and the second modification factor as a modification factor of the first subband. If a second subband in the (y-l)^th data frame does not have a corresponding signal type of the first subband in the y^th data frame, the encoder determines a second modification factor of the first subband in the y^th data frame according to the reference information of the second subband in the (y-1 )^th data frame, 15 and the modification factor of the first subband is the second modification factor.

[0142] It should be noted that the foregoing method for determining a value of the first modification factor and a value of the second modification factor is the same as the method, in which M>L, for determining the value of the first modification factor and the value of the second modification factor, and details are not described herein 20 again.

[0143] S205. The encoder modifies quantized frequency envelope values of the subbands of the first quantity in the y^th data frame.

[0144] After the encoder acquires the modification factors of the subbands of the first quantity in the y^th data frame, the encoder modifies the quantized frequency 25 envelope values of the subbands of the first quantity in the y^th data frame.

[0145] Specifically, the encoder modifies the quantized frequency envelope values of the subbands of the first quantity by using the modification factors of the subbands of the first quantity in the y^th data frame.

[0146] It should be noted that, in this embodiment of the present invention, when 30 the encoder modifies the quantized frequency envelope values of the subbands of the first quantity in the y^th data frame, preferably, as shown in FIG. 3, the encoder needs to modify, according to importance of subbands in the y^th data frame, only M or L subbands that have high importance in the y^th data frame, and recombine M or L

2018200552 23 Jan 2018 subbands in the y^th data frame that are modified by the encoder and remaining unmodified subbands in the y^th data frame to form modified N subbands in the y^th data frame.

[0147] In the encoding method provided in this embodiment of the present invention, the encoder may first determine, according to values of M and L, a quantity (a larger value between M and L) of subbands in the y^th data frame that need to be modified, then select a modification manner corresponding to a case in which M>L, or M<L, or M=L, and then determine modification factors corresponding to the modification manner to modify the quantized frequency envelope values of the 10 subbands of the first quantity in the y^th data frame.

[0148] Optionally, the encoder selects a corresponding modification manner according to values of M and L to modify the quantized frequency envelope values of the subbands of the first quantity in the y^th data frame.

[0149] If M>L, a value of the first quantity is M, and the encoder modifies 15 quantized frequency envelope values of M subbands in the y^th data frame according to signal types of the M subbands in the y^th data frame, or signal types of the M subbands in the y^th data frame and reference information of L subbands in the (y-l)^thdata frame. The M subbands in the y^th data frame are M consecutive subbands starting from a subband that has a highest frequency in the N subbands in the y^th data frame, L 20 subbands in the y^th data frame are L consecutive subbands starting from the subband that has the highest frequency in the N subbands in the y^th data frame, and the L subbands in the (y-1 )^th data frame are L consecutive subbands starting from a subband that has a highest frequency in N subbands in the (y-1 )^th data frame.

[0150] Alternatively, if M&lt;L, a value of the first quantity is L, and the encoder modifies quantized frequency envelope values of L subbands in the y^th data frame according to reference information of L subbands in the (y-1 )^th data frame, or signal types of M subbands in the y^th data frame and reference information of L subbands in the (y-l)^thdata frame.

[0151] Optionally, the encoder may select, according to values of M and L, that is, a modification condition, a modification manner corresponding to the modification condition, and determine corresponding modification factors according to the modification manner to modify the quantized frequency envelope values of the

2018200552 23 Jan 2018 subbands of the first quantity in the y^th data frame. Specifically, the modification manner in which the encoder modifies the quantized frequency envelope values of the subbands of the first quantity in the y^th data frame may be one of the following: [0152] (1) When M>L, a value of the first quantity is M, and the encoder uses the modification factors to correspondingly modify a quantization frequency envelope value of each subband in M subbands in the y^th data frame, where the modification factors are determined by the encoder according to a signal type of each subband in the M subbands in the y^th data frame. Specifically, the encoder correspondingly multiplies the quantized frequency envelope values of the M subbands in the y^th data 10 frame by M modification factors to obtain modified quantized frequency envelope values of the M subbands in the y^th data frame. Alternatively, the encoder correspondingly modifies quantized frequency envelope values of L subbands in the M subbands in the y^th data frame according to L first modification factors in M first modification factors and L second modification factors, and the encoder 15 correspondingly modifies quantized frequency envelope values of M-L remaining subbands in the M subbands in the y^th data frame according to M-L remaining first modification factors in the M first modification factors. Specifically, the encoder correspondingly multiplies the quantized frequency envelope values of the L subbands in the M subbands in the y^th data frame by the L first modification factors in 20 the M first modification factors and the L second modification factors to obtain modified quantized frequency envelope values of the L subbands in the M subbands in the y^th data frame, and the encoder correspondingly multiplies the quantized frequency envelope values of the M-L remaining subbands in the M subbands in the y^th data frame by the M-L remaining first modification factors in the M first 25 modification factors to obtain modified quantized frequency envelope values of the M-L remaining subbands in the M subbands in the y^th data frame.

[0153] (2) When M&lt;L, a value of the first quantity is L, and the encoder uses the modification factors to correspondingly modify a quantization frequency envelope value of each subband in L subbands in the y^th data frame, where the modification 30 factors are determined by the encoder according to reference information of each subband in L subbands in the (y-l)^th data frame. Specifically, the encoder correspondingly multiplies the quantized frequency envelope values of the L subbands in the y^th data frame by L modification factors to obtain modified quantized

2018200552 23 Jan 2018 frequency envelope values of the L subbands in the y^th data frame. Alternatively, the encoder correspondingly modifies quantized frequency envelope values of M subbands in the y^th data frame according to M second modification factors in L second modification factors and M first modification factors, and the encoder 5 correspondingly modifies quantized frequency envelope values of L-M remaining subbands in the L subbands in the y^th data frame according to L-M remaining second modification factors in the L second modification factors. Specifically, the encoder correspondingly multiplies the quantized frequency envelope values of the M subbands in the y^th data frame by the M second modification factors in the L second 10 modification factors and the M first modification factors to obtain modified quantized frequency envelope values of the M subbands in the y^th data frame, and the encoder correspondingly multiplies the quantized frequency envelope values of the L-M remaining subbands in the L subbands in the y^th data frame by the L-M remaining second modification factors in the L second modification factors to obtain modified 15 quantized frequency envelope values of the L-M remaining subbands in the L subbands in the y^th data frame.

[0154] Exemplarily, if M=3, and L=2, M>L, and three subbands in the y^th data frame need to be modified. A modification manner used when M>L is first selected, then the encoder correspondingly modifies quantized frequency envelope values of 20 two subbands in three subbands in the y^th data frame according to two first modification factors in three first modification factors and two second modification factors, and the encoder modifies a quantization frequency envelope value of one remaining subband in the three subbands in the y^th data frame according to one remaining first modification factor in the three first modification factors. Specifically, 25 the encoder correspondingly multiplies the quantized frequency envelope values of the two subbands in the three subbands in the y^th data frame by the two first modification factors in the three first modification factors and the two second modification factors to obtain modified quantized frequency envelope values of the two subbands in the three subbands in the y^th data frame, and the encoder multiplies 30 the quantization frequency envelope value of the one remaining subband in the three subbands in the y^th data frame by the one remaining first modification factor in the three first modification factors to obtain a modified quantization frequency envelope value of the one remaining subband in the three subband in the y^th data frame.

[0155] It may be understood that when M=L or M&lt;L, a process in which the

2018200552 23 Jan 2018 encoder modifies quantized frequency envelope values of M subbands in the y^th data frame is similar to the foregoing modification process in which M>L, which is subsequently described in detail by using an example.

[0156] S206. The encoder allocates quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity.

[0157] After the encoder modifies the quantized frequency envelope values of the subbands of the first quantity in the y^th data frame, the encoder may perform quantization bit allocation for the N subbands in the y^th data frame according to the modified quantized frequency envelope values of the subbands of the first quantity.

[0158] Specifically, after the encoder modifies the quantized frequency envelope values of the N subbands in the y^th data frame, the encoder may calculate initial values of importance of the N subbands (importance of a subband may be measured by using a parameter such as energy or a frequency of the subband) according to the modified quantized frequency envelope values of the N subbands in the y^th data frame, 15 and then allocate available bits to the N subbands according to the initial values of importance of the N subbands, where more bits are allocated to a subband of high importance, and fewer bits are allocated to a subband of low importance.

[0159] It should be noted that a quantity of available bits refers to a total quantity of bits that are available in the y^th data frame. The quantity of available bits is 20 determined according to a bit rate of the encoder. A larger bit rate of the encoder indicates a larger quantity of available bits.

[0160] It may be understood that after the quantized frequency envelope values of the N subbands in the y^th data frame are modified, on one hand, because the modified quantized frequency envelope values, used for quantization bit allocation, of the N 25 subbands in the y^th data frame better meet a characteristic of an audio signal, quantization bit allocation for spectral coefficients of the N subbands is more proper; on the other hand, because the modified quantized frequency envelope values of the N subbands in the y^th data frame may make spectral coefficients of the (y-l)^th data frame more continuous with the spectral coefficients of the y^th data frame, some 30 discrete points on a spectrum during decoding by a decoder are reduced, so that the decoder can better complete decoding.

[0161] S207. The encoder quantizes a spectral coefficient of a subband to which a quantization bit is allocated in the N subbands.

[0162] After the encoder performs quantization bit allocation for the spectral

2018200552 23 Jan 2018 coefficient of the subband to which a quantization bit is allocated in the N subbands in the y^th data frame, the encoder quantizes the spectral coefficient of the subband to which a quantization bit is allocated in the N subbands in the y^th data frame.

[0163] Specifically, after the encoder performs quantization bit allocation for the spectral coefficients of the N subbands in the y^th data frame, the encoder may perform normalization processing on the spectral coefficients of the N subbands in the y^th data frame according to the modified quantized frequency envelope values of the N subbands in the y^th data frame, and then quantize the spectral coefficients of the N subbands in the y^th data frame according to quantities of bits separately allocated by 10 the encoder to spectral coefficients of subbands to which quantization bits are allocated in the N subbands in the y^th data frame.

[0164] Exemplarily, when quantizing, according to a quantity of bits allocated to the spectral coefficient of the subband to which a quantization bit is allocated in the N subbands in the y^th data frame, the spectral coefficient of the subband to which a 15 quantization bit is allocated in the N subbands in the y^th data frame, the encoder may use a pyramid lattice vector quantization method to quantize a spectral coefficient of a subband to which fewer bits are allocated, so as to obtain the quantized spectral coefficient of the subband to which fewer bits are allocated; correspondingly, the encoder may use a spherical lattice vector quantization method to quantize a spectral 20 coefficient of a subband to which more bits are allocated, so as to obtain the quantized spectral coefficient of the subband to which more bits are allocated.

[0165] It should be noted that there may be a subband to which no quantization bit is allocated in the N subbands in the y^th data frame. In this embodiment of the present invention, the encoder quantizes a spectral coefficient of a subband to which a 25 quantization bit is allocated in the N subbands in the y^th data frame.

[0166] S208. The encoder writes the quantized spectral coefficient of the subband to which a quantization bit is allocated into a bitstream.

[0167] After the encoder quantizes the spectral coefficient of the subband to which a quantization bit is allocated in the y^th data frame, the encoder needs to write 30 the quantized spectral coefficient of the subband to which a quantization bit is allocated into the bitstream, so that the decoder uses the bitstream to perform decoding.

[0168] Specifically, after the encoder quantizes the spectral coefficient of the subband to which a quantization bit is allocated in the y^th data frame, the encoder

2018200552 23 Jan 2018 writes the quantized spectral coefficient of the subband to which a quantization bit is allocated, the signal types of the M subbands in the y^th data frame, the reference information of the L subbands in the (y-l)^th data frame, and the quantization frequency envelope index values of the N subbands in the y^th data frame into the 5 bitstream, and transmits the bitstream to the decoder for decoding.

[0169] It should be noted that for each data frame of an audio signal, the encoder performs encoding according to the foregoing steps S201 to S208, that is, the encoder repeatedly executes S201 to S208 until all data frames of the audio signal are encoded. After the encoding is completed, the encoder stores reference information of the 10 subbands of the first quantity in the y^th data frame, so that the reference information is used when the y+l^th data frame is being encoded.

[0170] It may be understood that after the encoder calculates, quantizes, and modifies a to-be-encoded audio signal, the encoder needs to write corresponding parameters such as the signal types of the M subbands in the y^th data frame, the 15 reference information of the L subbands in the (y-1 )^th data frame, and the quantization frequency envelope index values of the N subbands in the y^th data frame that are obtained in the foregoing process and the quantized spectral coefficient of the subband to which a quantization bit is allocated in the y^th data frame into the bitstream, and transmit the bitstream to the decoder, so that the decoder can perform processing 20 such as dequantization and denormalization on the bitstream of an encoded audio signal according to the corresponding parameters obtained during encoding, and then the encoder obtains, after completing decoding, the audio signal before being encoded.

[0171] The following describes in detail a process of modifying a quantization 25 frequency envelope value in the encoding method provided in this embodiment of the present invention by using an example of a specific wideband audio signal, for example, the encoder determines the modification factors of the subbands of the first quantity in the y^th data frame according to the signal types of the M subbands in the y^th data frame and the reference information of the L subbands in the (y-l)^th data 30 frame.

[0172] It is assumed that y=6, and N=18, that is, the encoder encodes the sixth data frame of the wideband audio signal. After the sixth data frame of the wideband audio signal is input into the encoder, the encoder first performs MDCT transformation on the sixth data frame to obtain 320 spectral coefficients within 0 to

2018200552 23 Jan 2018

8000 Hz. As shown in FIG. 3, the encoder splits the 320 spectral coefficients of the sixth data frame into 18 subbands with unequal intervals according to auditory sensing characteristics. Before the sixth data frame is input into the encoder, the encoder obtains 320 spectral coefficients within 0 to 8000 Hz after performing MDCT 5 transformation on the fifth data frame, input into the encoder, of the wideband audio signal, and also splits the 320 spectral coefficients of the fifth data frame into 18 subbands with unequal intervals according to auditory sensing characteristics. After calculating and quantizing frequency envelopes of the 18 subbands in the sixth data frame, the encoder obtains quantization frequency envelope index values of the 18 10 subbands in the sixth data frame and quantized frequency envelope values fenv of the subbands in the sixth data frame.

[0173] (1) If three subbands that have higher frequencies in the sixth data frame and two subbands that have higher frequencies in the fifth data frame are selected, that is, M=3, and L=2, the M subbands in the y^th data frame are the sixteenth subband, 15 the seventeenth subband, and the eighteenth subband in the sixth data frame, and the

L subbands in the (y-l)^th data frame are the seventeenth subband and the eighteenth subband in the fifth data frame. It is assumed that signal types of the sixteenth subband, the seventeenth subband, and the eighteenth subband in the sixth data frame are respectively harmonic, non-harmonic, and harmonic, quantization bit allocation 20 statuses of the seventeenth subband and the eighteenth subband in the fifth data frame are respectively 1 and 0, and signal types of the seventeenth subband and the eighteenth subband in the fifth data frame are respectively harmonic and non-harmonic.

[0174] Because M>L, preferably, the encoder needs to modify quantized 25 frequency envelope values of only three subbands in the sixth data frame, that is, the encoder needs to modify only the sixteenth subband, the seventeenth subband, and the eighteenth subband in the sixth data frame.

[0175] For ease of description, the following describes in detail a method for determining modification factors of the sixteenth subband, the seventeenth subband, 30 and the eighteenth subband.

[0176] First, the encoder determines a first modification factor factor 1 as follows: the sixteenth subband in the sixth data frame is harmonic, and therefore, a first modification factor factor 1 corresponding to the sixteenth subband is a value greater than 1; the seventeenth subband in the sixth data frame is non-harmonic, and therefore,

2018200552 23 Jan 2018 a first modification factor factor 1 corresponding to the seventeenth subband is a value less than or equal to 1; likewise, a factor 1 corresponding to the eighteenth subband in the sixth data frame is a value greater than 1. If a signal type of a subband is harmonic, a factor 1 is obtained by means of calculation by using the first formula;

if a signal type of a subband is non-harmonic, a factor 1 is obtained by means of calculation by using the second formula.

[0177] Then, the encoder determines a second modification factor factor 2 as follows: the encoder needs to first determine a third modification factor and a fourth modification factor. For determining a third modification factor, because the 10 quantization bit allocation statuses of the seventeenth subband and the eighteenth subband in the fifth data frame are respectively 1 and 0, a third modification factor factor 3 corresponding to the seventeenth subband in the fifth data frame is a value greater than 1, and a third modification factor factor 3 corresponding to the eighteenth subband in the fifth data frame is a value less than 1. If a quantization bit 15 allocation status of a subband is 1, a factor 3 is obtained by means of calculation by using the third formula; if a quantization bit allocation status of a subband is 0, a factor 3 is obtained by means of calculation by using the fourth formula. For determining a fourth modification factor, because the signal types of the seventeenth subband and the eighteenth subband in the fifth data frame are respectively harmonic 20 and non-harmonic, a fourth modification factor factor 4 corresponding to the seventeenth subband in the fifth data frame is a value greater than 1, and a fourth modification factor factor 4 corresponding to the eighteenth subband in the fifth data frame is a value less than 1. If a signal type of a subband is harmonic, a factor 4 is obtained by means of calculation by using the first formula; if a signal type of a 25 subband is non-harmonic, a factor 4 is obtained by means of calculation by using the second formula.

[0178] Preferably, a second modification factor used to modify the seventeenth subband in the fifth data frame is a product of the third modification factor factor 3 corresponding to the seventeenth subband in the fifth data frame and the fourth 30 modification factor factor 4 corresponding to the seventeenth subband in the fifth data frame, and a second modification factor used to modify the eighteenth subband in the fifth data frame is a product of the third modification factor factor 3 corresponding to the eighteenth subband in the fifth data frame and the fourth modification factor factor 4 corresponding to the eighteenth subband in the fifth data frame.

2018200552 23 Jan 2018 [0179] Finally, the encoder may correspondingly modify quantized frequency envelope values of L subbands in M subbands in the y^th data frame according to L first modification factors in M first modification factors and L second modification factors, and the encoder correspondingly modifies quantized frequency envelope values of 5 M-L remaining subbands in the M subbands in the y^th data frame according to M-L remaining first modification factors in the M first modification factors. In this example, M=3, and L=2; therefore, in the sixth data frame, the encoder multiplies a quantization frequency envelope value of the seventeenth subband in the sixth data frame by the first modification factor corresponding to the seventeenth subband in the 10 sixth data frame and the second modification factor corresponding to the seventeenth subband in the fifth data frame to obtain a modified quantization frequency envelope value of the seventeenth subband in the sixth data frame; concurrently, the encoder multiplies a quantization frequency envelope value of the eighteenth subband in the sixth data frame by the first modification factor corresponding to the eighteenth 15 subband in the sixth data frame and the second modification factor corresponding to the eighteenth subband in the fifth data frame to obtain a modified quantization frequency envelope value of the eighteenth subband in the sixth data frame; concurrently, the encoder multiplies a quantization frequency envelope value of the sixteenth subband in the sixth data frame by the first modification factor 20 corresponding to the sixteenth subband in the sixth data frame to obtain a modified quantization frequency envelope value of the sixteenth subband in the sixth data frame, so that the encoder modifies the quantized frequency envelope values of the sixteenth subband, the seventeenth subband, and the eighteenth subband in the sixth data frame. That is:

[0180] For the sixteenth subband in the sixth data frame, modified fenv 16 = factor 1 x fenv 16, where the factor 1 is the first modification factor corresponding to the sixteenth subband in the sixth data frame, the modified fenv 16 is the modified quantization frequency envelope value of the sixteenth subband in the sixth data frame, and the fenv 16 is the unmodified quantization frequency envelope value of the 30 sixteenth subband in the sixth data frame.

[0181] For the seventeenth subband in the sixth data frame, modified fenv 17 = factor 1 x factor 2 x fenv 17, where factor 2 = factor 3 x factor 4, the factor 1 is the first modification factor corresponding to the seventeenth subband in the sixth data frame, the factor 2 is the second modification factor

2018200552 23 Jan 2018 corresponding to the seventeenth subband in the fifth data frame, the factor 3 is the third modification factor corresponding to the seventeenth subband in the fifth data frame, the factor 4 is the fourth modification factor corresponding to the seventeenth subband in the fifth data frame, the modified fenv 17 is the modified quantization 5 frequency envelope value of the seventeenth subband in the sixth data frame, and the fenv 17 is the unmodified quantization frequency envelope value of the seventeenth subband in the sixth data frame.

[0182] Likewise, for the eighteenth subband in the sixth data frame, modified fenv 18 = factor 1 x factor 2 x fenv 18, where the modified fenv 10 18 is the modified quantization frequency envelope value of the eighteenth subband in the sixth data frame, and fenv 18 is the unmodified quantization frequency envelope value of the eighteenth subband in the sixth data frame.

[0183] (2) If three subbands that have higher frequencies in the sixth data frame and three subbands that have higher frequencies in the fifth data frame are selected, 15 that is, M=3, and L=3, the M subbands in the y^th data frame are the sixteenth subband, the seventeenth subband, and the eighteenth subband in the sixth data frame, and the L subbands in the (y-l)^th data frame are the sixteenth subband, the seventeenth subband, and the eighteenth subband in the fifth data frame. A method for determining first modification factors corresponding to the sixteenth subband, the seventeenth 20 subband, and the eighteenth subband in the sixth data frame and second modification factors corresponding to the sixteenth subband, the seventeenth subband, and the eighteenth subband in the fifth data frame is the same as the method used when M>L, and details are not described herein again.

[0184] Because M=L, the encoder may correspondingly modify the quantized 25 frequency envelope values of the M subbands in the y^th data frame according to M first modification factors and L second modification factors. In this example, M=3, and L=3; therefore, in the sixth data frame, the encoder multiplies a quantization frequency envelope value of the sixteenth subband in the sixth data frame by the first modification factor corresponding to the sixteenth subband in the sixth data frame and 30 the second modification factor corresponding to the sixteenth subband in the fifth data frame to obtain a modified quantization frequency envelope value of the sixteenth subband in the sixth data frame; concurrently, the encoder multiplies a quantization frequency envelope value of the seventeenth subband in the sixth data frame by the first modification factor corresponding to the seventeenth subband in the sixth data

2018200552 23 Jan 2018 frame and the second modification factor corresponding to the seventeenth subband in the fifth data frame to obtain a modified quantization frequency envelope value of the seventeenth subband in the sixth data frame; concurrently, the encoder multiplies a quantization frequency envelope value of the eighteenth subband in the sixth data 5 frame by the first modification factor corresponding to the eighteenth subband in the sixth data frame and the second modification factor corresponding to the eighteenth subband in the fifth data frame to obtain a modified quantization frequency envelope value of the eighteenth subband in the sixth data frame, so that the encoder modifies the quantized frequency envelope values of the sixteenth subband, the seventeenth 10 subband, and the eighteenth subband in the sixth data frame. That is:

[0185] For the sixteenth subband in the sixth data frame,

Modified fenv 16 = factor 1 x factor 2 x fenv 16, where:

factor 2 = factor 3 x factor 4, the factor 1 is the first modification factor corresponding to the sixteenth subband in the sixth data frame, the factor 2 is the 15 second modification factor corresponding to the sixteenth subband in the fifth data frame, the factor 3 is a third modification factor corresponding to the sixteenth subband in the fifth data frame, the factor 4 is a fourth modification factor corresponding to the sixteenth subband in the fifth data frame, the modified fenv 16 is the modified quantization frequency envelope value of the sixteenth subband in the 20 sixth data frame, and the fenv 16 is the unmodified quantization frequency envelope value of the sixteenth subband in the sixth data frame.

[0186] Likewise, for the seventeenth subband in the sixth data frame, modified fenv 17 = factor 1 x factor 2 x fenv 17, where the modified fenv is the modified quantization frequency envelope value of the seventeenth subband 25 in the sixth data frame, and fenv 17 is the unmodified quantization frequency envelope value of the seventeenth subband in the sixth data frame.

[0187] Likewise, for the eighteenth subband in the sixth data frame, modified fenv 18 = factor 1 x factor 2 x fenv 18, where the modified fenv is the modified quantization frequency envelope value of the eighteenth subband in 30 the sixth data frame, and fenv 18 is the unmodified quantization frequency envelope value of the eighteenth subband in the sixth data frame.

[0188] (3) If three subbands that have higher frequencies in the sixth data frame and four subbands that have higher frequencies in the fifth data frame are selected, that is, M=3, and L=4, the M subbands in the y^th data frame are the sixteenth subband,

2018200552 23 Jan 2018 the seventeenth subband, and the eighteenth subband in the sixth data frame, and the L subbands in the (y-l)^th data frame are the fifteenth subband, the sixteenth subband, the seventeenth subband, and the eighteenth subband in the fifth data frame. A method for determining first modification factors that are respectively corresponding to the 5 sixteenth subband, the seventeenth subband, and the eighteenth subband in the sixth data frame, second modification factors that are respectively corresponding to the sixteenth subband, the seventeenth subband, and the eighteenth subband in the fifth data frame, and a second modification factor corresponding to the fifteenth subband in the fifth data frame is the same as the method used when M>L, and details are not 10 described herein again.

[0189] Because M&lt;L, preferably, the encoder needs to modify quantized frequency envelope values of only four subbands in the sixth data frame, that is, the encoder needs to modify only the fifteenth subband, the sixteenth subband, the seventeenth subband, and the eighteenth subband in the sixth data frame. When M&lt;L, 15 the encoder correspondingly modifies quantized frequency envelope values of M subbands in the y^th data frame according to M second modification factors in L second modification factors and M first modification factors, and the encoder correspondingly modifies quantized frequency envelope values of L-M remaining subbands in the L subbands in the y^th data frame according to L-M remaining second 20 modification factors in the L second modification factors. In this example, M=3, and

L=4; therefore, in the sixth data frame, the encoder multiplies a quantization frequency envelope value of the sixteenth subband in the sixth data frame by the first modification factor corresponding to the sixteenth subband in the sixth data frame and the second modification factor corresponding to the sixteenth subband in the fifth data 25 frame to obtain a modified quantization frequency envelope value of the sixteenth subband in the sixth data frame; concurrently, the encoder multiplies a quantization frequency envelope value of the seventeenth subband in the sixth data frame by the first modification factor corresponding to the seventeenth subband in the sixth data frame and the second modification factor corresponding to the seventeenth subband in 30 the fifth data frame to obtain a modified quantization frequency envelope value of the seventeenth subband in the sixth data frame; concurrently, the encoder multiplies a quantization frequency envelope value of the eighteenth subband in the sixth data frame by the first modification factor corresponding to the eighteenth subband in the sixth data frame and the second modification factor corresponding to the eighteenth

2018200552 23 Jan 2018 subband in the fifth data frame to obtain a modified quantization frequency envelope value of the eighteenth subband in the sixth data frame; concurrently, the encoder multiplies a quantization frequency envelope value of the fifteenth subband in the sixth data frame by the second modification factor of the fifteenth subband in the fifth 5 data frame to obtain a modified quantization frequency envelope value of the fifteenth subband in the sixth data frame, so that the encoder modifies the quantized frequency envelope values of the fifteenth subband, the sixteenth subband, the seventeenth subband, and the eighteenth subband in the sixth data frame. That is:

[0190] For the fifteenth subband in the sixth data frame, modified fenv 15 = factor 10 2 x fenv 15, where factor 2 = factor 3 x factor 4, the factor 2 is the second modification factor corresponding to the fifteenth subband in the fifth data frame, the factor 3 is a third modification factor corresponding to the fifteenth subband in the fifth data frame, the factor 4 is a fourth modification factor corresponding to the fifteenth subband in the fifth data frame, the modified fenv 15 is the modified 15 quantization frequency envelope value of the fifteenth subband in the sixth data frame, and the fenv 15 is the unmodified quantization frequency envelope value of the fifteenth subband in the sixth data frame.

[0191] For the sixteenth subband in the sixth data frame, modified fenv 16 = factor 1 x factor 2 x fenv 16, where the factor 1 is the first modification factor corresponding to the sixteenth subband in the sixth data frame, the factor 2 is the second modification factor corresponding to the sixteenth subband in the fifth data frame, the modified fenv 16 is the modified quantization frequency envelope value of the sixteenth subband in the sixth data frame, and the fenv 16 is the unmodified quantization frequency envelope value of the sixteenth 25 subband in the sixth data frame.

[0192] Likewise, for the seventeenth subband in the sixth data frame, modified fenv 17 = factor 1 x factor 2 x fenv 17, where the modified fenv is the modified quantization frequency envelope value of the seventeenth subband in the sixth data frame, and fenv 17 is the unmodified quantization frequency envelope value of the seventeenth subband in the sixth data frame.

[0193] Likewise, for the eighteenth subband in the sixth data frame, modified fenv 18 = factor 1 x factor 2 x fenv 18, where the modified fenv is the modified quantization frequency envelope value of the eighteenth subband in the sixth data frame, and fenv 18 is the unmodified quantization frequency envelope

2018200552 23 Jan 2018 value of the eighteenth subband in the sixth data frame.

[0194] According to the encoding method provided in this embodiment of the present invention, after splitting spectral coefficients of a current data frame into subbands, an encoder acquires quantized frequency envelope values of the subbands;

the encoder modifies quantized frequency envelope values of subbands of a first quantity in the subbands; the encoder allocates quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity; the encoder quantizes a spectral coefficient of a subband to which a quantization bit is allocated in the subbands; and finally, the encoder writes the 10 quantized spectral coefficient of the subband to which a quantization bit is allocated into a bitstream. According to this solution, before quantization bit allocation is performed for spectral coefficients of subbands in a current data frame of an audio signal, quantized frequency envelope values of the subbands can be modified according to a signal type of the current data frame and information about a previous 15 data frame; therefore, performing quantization bit allocation for the spectral coefficients of the subbands according to modified quantized frequency envelope values of the subbands and a quantity of available bits can achieve an objective of proper quantization bit allocation for spectral coefficients of an audio signal, thereby improving quality of a signal obtained by a decoder by means of decoding.

Embodiment 3 [0195] As shown in FIG. 4, this embodiment of the present invention provides an encoding apparatus 1. The encoding apparatus 1 may include:

an acquiring unit 10, configured to: after splitting spectral coefficients of a current data frame into subbands, acquire quantized frequency envelope values of the 25 subbands;

a modifying unit 11, configured to modify quantized frequency envelope values of subbands of a first quantity in the subbands acquired by the acquiring unit 10;

an allocating unit 12, configured to allocate quantization bits to the subbands according to quantized frequency envelope values, modified by the modifying unit 11, of the subbands of the first quantity;

a quantizing unit 13, configured to quantize a spectral coefficient of a

2018200552 23 Jan 2018 subband to which a quantization bit is allocated by the allocating unit 12 in the subbands; and a multiplexing unit 14, configured to write the spectral coefficient, quantized by the quantizing unit 13, of the subband to which a quantization bit is 5 allocated into a bitstream.

[0196] Optionally, the acquiring unit 10 is further configured to acquire modification factors of the subbands of the first quantity.

[0197] The modifying unit 11 is further configured to modify, by using the modification factors of the subbands of the first quantity acquired by the acquiring 10 unit 10, the quantized frequency envelope values, acquired by the acquiring unit 10, of the subbands of the first quantity.

[0198] Optionally, as shown in FIG. 5, the encoding apparatus 1 further includes a determining unit 15.

[0199] The acquiring unit 10 is further configured to acquire signal types of the 15 subbands of the first quantity.

[0200] The determining unit 15 is configured to determine the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity acquired by the acquiring unit 10.

[0201] The determining unit 15 is further configured to: when a signal type, acquired by the acquiring unit 10, of a first subband in the subbands of the first quantity is harmonic, determine that a modification factor of the first subband is greater than 1; or when a signal type, acquired by the acquiring unit 10, of a first subband in the subbands of the first quantity is non-harmonic, determine that a modification factor of the first subband is less than or equal to 1.

[0202] Optionally, the acquiring unit 10 is further configured to: before the determining the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity, acquire stored reference information of subbands of a second quantity in a previous data frame of the current data frame, where the second quantity is less than or equal to the first quantity.

[0203] The determining unit 15 is specifically configured to determine the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity and the reference information of the subbands of the second quantity that are acquired by the acquiring unit 10.

[0204] Optionally, the determining unit 15 is further configured to: determine a

2018200552 23 Jan 2018 first modification factor of the first subband according to the signal type of the first subband in the subbands of the first quantity acquired by the acquiring unit 10; determine a second modification factor of the first subband according to reference information, acquired by the acquiring unit 10, of a second subband, corresponding to 5 the first subband, in the subbands of the second quantity; and use a product of the first modification factor and the second modification factor as the modification factor of the first subband.

[0205] Optionally, the reference information of the second subband acquired by the acquiring unit 10 includes a quantization bit allocation status of the second 10 subband and/or a signal type of the second subband, where when the reference information of the second subband includes the quantization bit allocation status of the second subband, the second modification factor determined by the determining unit 15 is a third modification factor; or when the reference information of the second subband includes the signal type of the second subband, the second modification 15 factor is a fourth modification factor; or when the reference information of the second subband includes the quantization bit allocation status of the second subband and the signal type of the second subband, the second modification factor is a product of the third modification factor and the fourth modification factor.

[0206] Optionally, the determining unit 15 is further configured to: when the 20 quantization bit allocation status of the second subband indicates that no spectral coefficient is encoded, determine that the third modification factor is less than 1, or when the quantization bit allocation status of the second subband indicates that a spectral coefficient is encoded, determine that the third modification factor is greater than 1; and when the signal type of the second subband acquired by the acquiring unit 25 10 is harmonic, determine that the fourth modification factor is greater than 1, or when the signal type of the second subband acquired by the acquiring unit 10 is non-harmonic, determine that the fourth modification factor is less than or equal to 1.

[0207] Optionally, the second modification factor of the first subband determined by the determining unit 15 is determined according to a ratio of any two values of a 30 frequency envelope value of the second subband, an average frequency envelope value of the subbands of the second quantity, a bandwidth value of the subbands of the second quantity, a maximum value of frequency envelope values of the subbands of the second quantity, and a frequency envelope variance value of the subbands of the second quantity.

2018200552 23 Jan 2018 [0208] Optionally, the first modification factor of the first subband determined by the determining unit 15 is determined according to a ratio of any two values of a frequency envelope value of the first subband, an average frequency envelope value of the subbands of the first quantity, a bandwidth value of the subbands of the first 5 quantity, a maximum value of frequency envelope values of the subbands of the first quantity, and a frequency envelope variance value of the subbands of the first quantity.

[0209] Optionally, the acquiring unit 10 is further configured to acquire stored reference information of subbands of a first quantity in a previous data frame of the 10 current data frame.

[0210] The determining unit 15 is further configured to determine the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame acquired by the acquiring unit 10.

[0211] Optionally, the acquiring unit 10 is further configured to: before the determining the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame, acquire signal types of subbands of a third quantity in the subbands in the current data frame, where the third quantity is less than 20 or equal to the first quantity.

[0212] The determining unit 15 is specifically configured to: determine the modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame and the signal types of the subbands of the third quantity that are 25 acquired by the acquiring unit 10.

[0213] Optionally, the determining unit 15 is further configured to: determine a second modification factor of a first subband in the subbands of the first quantity in the current data frame according to reference information of a second subband in the subbands of the first quantity in the previous data frame acquired by the acquiring unit 30 10; determine a first modification factor of the first subband according to a signal type of the first subband acquired by the acquiring unit 10; and use a product of the first modification factor and the second modification factor as a modification factor of the first subband.

[0214] Optionally, as shown in FIG. 6, the encoding apparatus 1 further includes a

2018200552 23 Jan 2018 storing unit 16.

[0215] The storing unit 16 is further configured to store reference information of the subbands of the first quantity after the allocating unit 12 allocates the quantization bits to the subbands according to the modified quantized frequency envelope values of 5 the subbands of the first quantity.

[0216] According to the encoding apparatus provided in this embodiment of the present invention, after splitting spectral coefficients of a current data frame into subbands, the encoding apparatus acquires quantized frequency envelope values of the subbands; the encoding apparatus modifies quantized frequency envelope values 10 of subbands of a first quantity in the subbands; the encoding apparatus allocates quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity; the encoding apparatus quantizes a spectral coefficient of a subband to which a quantization bit is allocated in the subbands; and finally, the encoding apparatus writes the quantized spectral coefficient 15 of the subband to which a quantization bit is allocated into a bitstream. According to this solution, before quantization bit allocation is performed for spectral coefficients of subbands in a current data frame of an audio signal, quantized frequency envelope values of the subbands can be modified according to a signal type of the current data frame and information about a previous data frame; therefore, performing 20 quantization bit allocation for the spectral coefficients of the subbands according to modified quantized frequency envelope values of the subbands and a quantity of available bits can achieve an objective of proper quantization bit allocation for spectral coefficients of an audio signal, thereby improving quality of a signal obtained by a decoder by means of decoding.

Embodiment 4 [0217] As shown in FIG. 7, this embodiment of the present invention provides an encoder. The encoder may include a processor 20, a memory 21, a communications interface 22, and a system bus 23.

[0218] The processor 20, the memory 21, and the communications interface 22 30 connects to each other and communicates with each other by using the bus 23.

[0219] The processor 20 may be a single-core or multi-core central processing unit, or an application-specific integrated circuit, or one or more integrated circuits

2018200552 23 Jan 2018 configured to implement this embodiment of the present invention.

[0220] The memory 21 may be a high-speed RAM memory, or may be a non-volatile memory, for example, at least one magnetic disk memory.

[0221] The memory 21 is configured to store an instruction executed by the encoder. Specifically, the instruction executed by the encoder may include software code and a software program.

[0222] Specifically, the processor 20 is configured to: after splitting spectral coefficients of a current data frame acquired from the communications interface 22 by using the system bus 23 into subbands, acquire quantized frequency envelope values 10 of the subbands; modify quantized frequency envelope values of subbands of a first quantity in the subbands; allocate quantization bits to the subbands according to modified quantized frequency envelope values of the subbands of the first quantity; quantize a spectral coefficient of a subband to which a quantization bit is allocated in the subbands; and finally, write, by using the system bus 23, the quantized spectral 15 coefficient of the subband to which a quantization bit is allocated into a bitstream. The memory 21 may be configured to store software code of signal types of the subbands of the first quantity in the current data frame and software code of reference information of subbands of a second quantity in a previous data frame of the current data frame, or software code of signal types of subbands of a third quantity in the 20 current data frame and software code of reference information of subbands of a first quantity in a previous data frame of the current data frame, and a software program for controlling the encoder to complete the foregoing process, so that the processor 20 can complete the foregoing process by executing the software program stored in the memory 21 and by invoking corresponding software code.

[0223] Optionally, the processor 20 is further configured to: acquire modification factors of the subbands of the first quantity, and use the modification factors of the subbands of the first quantity to modify the quantized frequency envelope values of the subbands of the first quantity.

[0224] Optionally, the processor 20 is further configured to: acquire the signal 30 types of the subbands of the first quantity from the communications interface 22 by using the system bus 23, and determine the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity.

[0225] Optionally, the processor 20 is further configured to: when a signal type of a first subband in the subbands of the first quantity is harmonic, determine that a

2018200552 23 Jan 2018 modification factor of the first subband is greater than 1; or when a signal type of a first subband in the subbands of the first quantity is non-harmonic, determine that a modification factor of the first subband is less than or equal to 1.

[0226] Optionally, the processor 20 is further configured to: before the determining the modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity, acquire the stored reference information of the subbands of the second quantity in the previous data frame of the current data frame, where the second quantity is less than or equal to the first quantity. [0227] Optionally, the processor 20 is specifically configured to: determine the 10 modification factors of the subbands of the first quantity according to the signal types of the subbands of the first quantity and the reference information of the subbands of the second quantity.

[0228] Optionally, the processor 20 is further configured to: determine a first modification factor of the first subband according to the signal type of the first 15 subband in the subbands of the first quantity; determine a second modification factor of the first subband according to reference information of a second subband, corresponding to the first subband, in the subbands of the second quantity; and use a product of the first modification factor and the second modification factor as the modification factor of the first subband.

[0229] Optionally, the reference information of the second subband includes a quantization bit allocation status of the second subband and/or a signal type of the second subband, where when the reference information of the second subband includes the quantization bit allocation status of the second subband, the second modification factor is a third modification factor; or when the reference information 25 of the second subband includes the signal type of the second subband, the second modification factor is a fourth modification factor; or when the reference information of the second subband includes the quantization bit allocation status of the second subband and the signal type of the second subband, the second modification factor is a product of the third modification factor and the fourth modification factor.

[0230] Optionally, the processor 20 is further configured to: when the quantization bit allocation status of the second subband indicates that no spectral coefficient is encoded, determine that the third modification factor is less than 1, or when the quantization bit allocation status of the second subband indicates that a spectral coefficient is encoded, determine that the third modification factor is greater than 1;

2018200552 23 Jan 2018 and when the signal type of the second subband is harmonic, determine that the fourth modification factor is greater than 1, or when the signal type of the second subband is non-harmonic, determine that the fourth modification factor is less than or equal to 1. [0231] Optionally, the first modification factor of the first subband is determined 5 according to a ratio of any two values of a frequency envelope value of the first subband, an average frequency envelope value of the subbands of the first quantity, a bandwidth value of the subbands of the first quantity, a maximum value of frequency envelope values of the subbands of the first quantity, and a frequency envelope variance value of the subbands of the first quantity; the second modification factor of 10 the first subband is determined according to a ratio of any two values of a frequency envelope value of the second subband, an average frequency envelope value of the subbands of the second quantity, a bandwidth value of the subbands of the second quantity, a maximum value of frequency envelope values of the subbands of the second quantity, and a frequency envelope variance value of the subbands of the 15 second quantity.

[0232] Optionally, the processor 20 is further configured to acquire the reference information of the subbands of the first quantity in the previous data frame of the current data frame.

[0233] Optionally, the processor 20 is further configured to: determine the 20 modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame.

[0234] Optionally, the processor 20 is further configured to: before the determining the modification factors of the subbands of the first quantity in the 25 current data frame according to the reference information of the subbands of the first quantity in the previous data frame, acquire the signal types of the subbands of the third quantity in the subbands in the current data frame, where the third quantity is less than or equal to the first quantity.

[0235] Optionally, the processor 20 is specifically configured to: determine the 30 modification factors of the subbands of the first quantity in the current data frame according to the reference information of the subbands of the first quantity in the previous data frame and the signal types of the subbands of the third quantity.

[0236] Optionally, the processor 20 is further configured to: determine a second modification factor of a first subband in the subbands of the first quantity in the

2018200552 23 Jan 2018 current data frame according to reference information of a second subband in the subbands of the first quantity in the previous data frame; determine a first modification factor of the first subband according to a signal type of the first subband; and use a product of the first modification factor and the second modification factor as a modification factor of the first subband.

[0237] The processor 20 is further configured to store reference information of the subbands of the first quantity after allocating the quantization bits to the subbands according to the modified quantized frequency envelope values of the subbands of the first quantity.

[0238] According to the encoder provided in this embodiment of the present invention, after splitting spectral coefficients of a current data frame into subbands, the encoder acquires quantized frequency envelope values of the subbands; the encoder modifies quantized frequency envelope values of subbands of a first quantity in the subbands; the encoder allocates quantization bits to the subbands according to 15 modified quantized frequency envelope values of the subbands of the first quantity;

the encoder quantizes a spectral coefficient of a subband to which a quantization bit is allocated in the subbands; and finally, the encoder writes the quantized spectral coefficient of the subband to which a quantization bit is allocated into a bitstream. According to this solution, before quantization bit allocation is performed for spectral 20 coefficients of subbands in a current data frame of an audio signal, quantized frequency envelope values of the subbands can be modified according to a signal type of the current data frame and information about a previous data frame; therefore, performing quantization bit allocation for the spectral coefficients of the subbands according to modified quantized frequency envelope values of the subbands and a 25 quantity of available bits can achieve an objective of proper quantization bit allocation for spectral coefficients of an audio signal, thereby improving quality of a signal obtained by a decoder by means of decoding.

[0239] It may be clearly understood by a person skilled in the art that, for the purpose of convenient and brief description, division of the foregoing functional 30 modules is taken as an example for illustration. In actual application, the foregoing functions can be allocated to different functional modules and implemented according to a requirement, that is, an inner structure of an apparatus is divided into different functional modules to implement all or some of the functions described above. For a detailed working process of the foregoing system, apparatus, and unit, reference may

2018200552 23 Jan 2018 be made to a corresponding process in the foregoing method embodiments, and details are not described herein again.

[0240] In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented 5 in other manners. For example, the described apparatus embodiment is merely exemplary. For example, the module or unit division is merely logical function division and may be other division in actual implementation. For example, a plurality of units or components may be combined or integrated into another system, or some features may be ignored or not performed. In addition, the displayed or discussed 10 mutual couplings or direct couplings or communication connections may be implemented by using some interfaces. The indirect couplings or communication connections between the apparatuses or units may be implemented in electronic, mechanical, or other forms.

[0241] The units described as separate parts may or may not be physically 15 separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

[0242] In addition, functional units in the embodiments of the present invention 20 may be integrated into one processing unit, or each of the units may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in a form of hardware, or may be implemented in a form of a software functional unit.

[0243] When the integrated unit is implemented in the form of a software 25 functional unit and sold or used as an independent product, the integrated unit may be stored in a computer-readable storage medium. Based on such an understanding, the technical solutions of the present invention essentially, or the part contributing to the prior art, or all or some of the technical solutions may be implemented in the form of a software product. The software product is stored in a storage medium and includes 30 several instructions for instructing a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to perform all or some of the steps of the methods described in the embodiments of the present invention. The foregoing storage medium includes: any medium that can store program code, such as a USB flash drive, a removable hard disk, a read-only memory

2018200552 23 Jan 2018 (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc.

[0244] The foregoing descriptions are merely specific implementation manners of the present invention, but are not intended to limit the protection scope of the present 5 invention. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present invention shall fall within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.