Compensating for ambient noise levels in text-to-speech applications
Claim Score by NHIP
Abstract
A method of automatically adjusting volume of speech generated by a text-to-speech application can include measuring an ambient noise level of an audio environment. A target volume for speech output generated by a text-to-speech application can be calculated based in part upon the ambient noise level. A volume of speech generated by the text-to-speech application can be automatically adjusted responsive to the performed calculation.

Term
Term ended
Projected expiry passed 25 March 2023, 3.5 years ago.
- Priority and filed
- Published
- Projected expiry
- Today
19 claims: 3 independent, 16 dependent
- 1Broadest claimClaim Score 78, broad(NHIP)A method of automatically adjusting volume of speech generated by a text-to-speech application comprising the steps of:measuring an ambient noise level of an audio environment;calculating a target volume for speech output generated by a text-to-speech application based in part upon said ambient noise level;and, automatically adjusting volume of speech generated by said text-to-speech application responsive to said calculating step.
- 10A system for automatically adjusting a volume of speech generated by a text-to-speech application comprising:a receiving transducer configured to detect an ambient noise level;a text-to-speech application;a calculation engine configured to calculate a target volume based in part upon said ambient noise level;and, an audio transducer configured to play speech generated by said text-to-speech application, wherein an output level of said speech is automatically adjusted based upon said target volume.
- 11A machine-readable storage having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of:measuring an ambient noise level of an audio environment;calculating a target volume for speech output generated by a text-to-speech application based in part upon said ambient noise level;and, automatically adjusting volume of speech generated by said text-to-speech application responsive to said calculating step.
Independent claims3
38 paragraphs in 4 sections, as filed
BACKGROUND OF THE INVENTION
[0001] 1. Technical Field
[0002] The present invention relates to the field of voice processing and, more particularly, to text-to-speech applications.
[0003] 2. Description of the Related Art
[0004] Text-to-speech (TTS) applications can be used in a variety of different environments and settings with each environment having an associated level of background noise or ambient noise. The louder the ambient noise within a particular environment, the louder the speech generated by a TTS application needs to be in order for a user to intelligibly comprehend the speech.
[0005] Conventional TTS applications provide a user-adjustable volume mechanism for controlling the volume of the output of generated speech. Such a control mechanism can provide a fixed output level for the TTS application. When the ambient noise levels change, however, the user of the TTS application can be forced to either correspondingly manually adjust the volume of the output level or to listen to a signal that is relatively too soft or too loud. When the output level is too soft, the generated speech can be difficult to understand or can be completely unintelligible. When the output level is too loud, the volume level can be uncomfortable for the user and disturbing to inadvertent peripheral listeners within close proximity to the user of the TTS application.
[0006] The output level of TTS applications can be excessively problematic in environments with varying ambient noise levels. For example, a TTS application within an automobile, such as a TTS application disposed within a vehicle navigation system, can experience many different ambient noise levels during normal usage. For instance, the appropriate output level for the TTS application can be vastly different when the automobile is at a stop than when the automobile is moving at high speed. Similarly, a comfortable output level can vary substantially when a window of the automobile is up verses down or when surrounding traffic is light verses heavy. As devices that utilize TTS applications proliferate and become more integrated within portable computing devices, the aforementioned difficulties will likely worsen.
SUMMARY OF THE INVENTION
[0007] The invention disclosed herein provides a method, a system, and an apparatus for dynamically adjusting the volume of speech generated by text-to-speech (TTS) applications. In particular, just prior to producing an audio output, the invention can sample the ambient noise level existing within an audio environment where the speech is to be played. Calculations can be performed to determine an appropriate output level for the speech based upon the ambient noise level. Modifications can then be made to assure the speech is played at the calculated output level. For example, an amplifier connected to an audio transducer can be modified to achieve the calculated output level. Alternately or conjunctively, the amplitude of the audio signal generated by the TTS application can be adjusted to achieve the calculated output level. Once the appropriate adjustments are made, the audio output signal can be played using the audio transducer.
[0008] One aspect of the present invention can include a method of automatically adjusting the volume of speech generated by a TTS application. In the method, the ambient noise level of an audio environment can be measured. In one embodiment, an input used to detect the ambient noise level can be received from a microphone configured to receive speech input for a voice recognition application. A target volume for speech output generated by a TTS application can be calculated, wherein the calculation can be based in part upon the detected ambient noise level. For example, the target volume can be calculated based in part upon a signal-to-noise ratio (SNR) value. In a particular embodiment, the target volume can be limited to a volume range.
[0009] Additionally, in one embodiment, a sound pressure level (SPL) for played speech can be detecting and compared to the SPL associated with the target volume. The volume of speech generated by the TTS application can be responsively adjusted. In another embodiment, output characteristics can be identified for at least one audio transducer that plays the speech. These output characteristics can be used when calculating the target volume. In a further embodiment, a plurality of audio transducers can exist. One of these can be selected and the target volume can be adjusted based upon the output characteristics of the selected audio transducer.
[0010] After the target volume calculation has been performed, an adjustment can be made to the volume of speech generated by the TTS application. For example, an amplitude of a speech output generated by the TTS application can be adjusted via software configured to modify signals. Alternatively or conjunctively, an amplifier external to the TTS application which is communicatively linked to the audio transducer can be adjusted.
[0011] Another aspect of the present invention can include a system for automatically adjusting a volume of speech generated by a TTS application. The system can include a receiving transducer configured to detect an ambient noise level. A TTS application and a calculation engine can also be included. The calculation engine can calculate a target volume based in part upon the ambient noise level within an audio environment. Further, an audio transducer can play speech generated by the TTS application, wherein an output level of the speech is automatically adjusted based upon the target volume.
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] There are shown in the drawings embodiments, which are presently preferred, it being understood, however, that the invention is not limited to the precise arrangements and instrumentalities shown.
[0013]FIG. 1 is a schematic diagram illustrating a system that can adjust the volume of speech generated by a TTS application based upon ambient noise levels according to the inventive arrangements disclosed herein.
[0014]FIG. 2 is a flow chart illustrating a method for compensating for ambient noise using the system of FIG. 1.
DETAILED DESCRIPTION OF THE INVENTION
[0015] The invention disclosed herein provides a method, a system, and an apparatus for adjusting a volume or output level for speech generated by a text-to-speech (TTS) application. More particularly, the volume can be adjusted relative to the level of ambient noise existing within an audio environment in which the speech is played. The invention includes a receiving transducer that is capable of detecting and measuring the ambient noise level of an audio environment. Before an audio output is transmitted by the TTS application, an ambient noise level can be determined. Thereafter, calculations can be made to determine a target volume based in part upon the measured ambient noise level. The volume for the speech generated by the TTS application can then be adjusted responsive to this calculated value.
[0016]FIG. 1 is a schematic diagram illustrating a system <b>100</b> that can adjust the volume of speech generated by a TTS application based upon ambient noise levels according to the inventive arrangements disclosed herein. The system <b>100</b> can include an audio transducer <b>110</b>, a receiving transducer <b>120</b>, a volume adjuster <b>128</b>, and a calculation engine <b>125</b>. The audio transducer <b>110</b> can be any device capable of converting an electrical signal, such as a speech input <b>135</b>, into sonic output, such as speech output <b>145</b>. For example, the audio transducer <b>110</b> can be a speaker or a system of speakers.
[0017] The receiving transducer <b>120</b> can detect and measure ambient noise <b>140</b>. The receiving transducer <b>120</b> can include a single element or can include multiple elements forming an input array. For example, receiving transducer <b>120</b> can include a microphone for receiving an input containing ambient noise <b>140</b> and associated software for measuring the ambient noise <b>140</b>. In one embodiment, the receiving transducer <b>120</b> can be used by the TTS application <b>105</b> to receive speech as well as to detect ambient noise <b>140</b> for a volume control system <b>102</b>. The receiving transducer <b>120</b> need not be a microphone, but can be any device capable of detecting and measuring ambient noise <b>140</b>. For example, the receiving transducer <b>120</b> can include a sound pressure level (SPL) meter, a standard volume indicator (VU meter), a peak program meter (PPM), and/or any other such audio level or audio volume measuring device used either singularly or in combination with other such devices.
[0018] The calculation engine <b>125</b> can determine a desired audio output level based in part upon the ambient noise level. A signal-to-noise ratio (SNR), which is a measure of signal strength relative to ambient noise, can be used by the calculation engine <b>125</b> to determine a target output level. Hence, for any given SNR value, a speech output level can be computed.
[0019] It should be noted, however, that not every calculated speech output level is technically practical or desirable to produce. For example, every audio transducer <b>110</b> has an associated range of SPL levels that the audio transducer <b>110</b> is capable of producing. The calculated audio output value is therefore constrained to this range. To further complicate matters, the audio transducer <b>110</b> as well as associated hardware components, such as an amplifier, can produce noise and distortions when generating the speech output <b>145</b> from the speech input <b>135</b>. The level of noise and distortions produced by the audio transducer <b>110</b> and associated components can vary depending on the audio output level and design details of the hardware. Since these output characteristics are mathematically definable, the calculation engine <b>125</b> can modify an initially calculated output level value to compensate for the output characteristics of the audio hardware. Similarly, the receiving transducer <b>120</b> can contain mathematically definable characteristics for which the calculation engine <b>125</b> can compensate.
[0020] Other limitations upon calculated output levels can result from physical characteristics, such as hearing ability, and preferences of a listener. For example, the average threshold of human hearing is 0 dB, a whisper can be 20 dB, and normal speech can be 70 dB. Accordingly, users of system <b>100</b> can desire audio output levels to be within a volume range so that the user can comfortably listen to the audio output. Consequently, the output level calculated by the calculation engine <b>125</b> can represent a compromise among a multitude of desirable factors or user preferences, such as SNR and volume.
[0021] In one embodiment, the calculation engine <b>125</b> will produce an output level which represents a desired volume within a predetermined system. For example, the predefined system can include a software volume adjustment programs. In another embodiment, the output level of the calculation engine <b>125</b> can represent an SPL actually produced by the audio transducer <b>110</b>. In such an embodiment, the receiving transducer <b>120</b> can sample the speech output <b>145</b> causing the calculation engine <b>125</b> to adjust parameters until the desired SPL for the calculated output level is produced.
[0022] Selectable settings <b>130</b> can be provided to the calculation engine <b>125</b> to adjust the behavior of the calculation engine <b>125</b>. For example, a user of system <b>100</b> can enter output settings <b>130</b> for establishing a minimum or maximum volume range. Furthermore, specifications for one or more audio transducers <b>110</b> can be entered as output settings <b>130</b>. In one embodiment, output settings <b>130</b> can be entered manually by users. Alternatively or conjunctively, output settings <b>130</b> can be automatically provided to the calculation engine <b>125</b>. For example, plug-and-play computer peripherals can transmit peripheral specifications to the calculation engine <b>125</b> disposed within a computing device upon being first connected to the computing device.
[0023] The volume adjustor <b>128</b> can alter the volume of the audio output <b>145</b> based upon an output level calculated by the calculation engine <b>125</b>. In one embodiment, the volume adjuster <b>128</b> can be a software application. For example, the volume adjuster <b>128</b> can be a software routine capable of adjusting the audio output (i.e. via sound card drivers) of a computing device receiving the speech <b>135</b> from the TTS application <b>105</b>. Additionally, the volume adjustor <b>128</b> can include hardware, such as an amplifier. For example, the audio transducer <b>110</b> can be connected to an amplifier which can be automatically adjusted by the volume adjuster <b>128</b>. Further, the volume adjuster <b>128</b> can adjust the volume of a variety of signals including signals which comprise ambient noise <b>140</b>.
[0024] In one such instance, the system <b>100</b> can be implemented within an automobile audio system. The speech input <b>135</b> can represent speech generated by a TTS application <b>105</b> associated with a vehicle navigation system. A principle component of the ambient noise <b>140</b> can be the stereo system of the vehicle. In such a system, the volume adjustor <b>128</b> can lower the stereo volume in addition to raising the volume of the speech input <b>135</b>. Similarly, in systems with multiple audio tracks, the volume adjustor <b>128</b> can increase the output level of tracks associated with the speech input <b>135</b> while decreasing the output level of other tracks which are components of the ambient noise <b>140</b>.
[0025] In operation, the TTS application <b>105</b> can generate an audio output signal <b>135</b>, such as speech, that triggers the system to sample for ambient noise <b>140</b>. The receiving transducer <b>120</b> can receive and measure the level of the ambient noise <b>140</b> and convey this ambient noise measurement to the calculation engine <b>125</b>. The calculation engine <b>125</b> can use internal algorithms and heuristics, internal parameters, selectable settings <b>130</b>, and the ambient noise measurement from the receiving transducer <b>120</b>, to calculate an audio output level.
[0026] The volume adjuster <b>128</b> can responsively alter the speech output <b>145</b> as well as other controllable audio signals within the audio environment <b>104</b>. For instance, the volume adjustor <b>128</b> can lower components forming ambient noise <b>140</b>. For purposes of system <b>100</b>, any audio signal not comprising speech output <b>145</b> is a component of ambient noise <b>140</b>. The audio transducer <b>110</b> can generate the speech output <b>145</b> after the volume adjustor <b>128</b> has triggered appropriate adjustments.
[0027] It should be noted that the system <b>100</b> can contain multiple audio transducers <b>110</b> used together or separately. For example, the speech output <b>145</b> can commonly be constructed from multiple audio transducers <b>110</b>, such as two front channel speakers, a center speaker, two rear speakers, and a subwoofer. Each speaker can have different output characteristics. Accordingly, the calculation engine <b>125</b> can separately calculate multiple output levels for the multiple audio transducers <b>110</b> within a system. These calculations need not be performed in an isolated fashion, but the overall audio output from the sum of the audio transducers <b>110</b> within a specific system can be considered by the calculation engine <b>125</b>.
[0028] In another embodiment, a device containing the calculation engine <b>125</b> can utilize different transducers <b>110</b> with substantially different output characteristics. For example, a personal data assistant utilizing the invention can contain a small internal speaker and can alternatively be connected to a more robust audio system. Acoustic limitations and preferences for the personal data assistant can largely depend upon which speaker system is being used. Accordingly, different selectable settings <b>130</b> for different potential audio transducer <b>110</b> configurations can be utilized by the calculation engine <b>125</b>.
[0029] Any of a variety of different mechanisms can be utilized to calculate the audio output levels for detected ambient noise levels. Accordingly, the invention is not limited by any particular technique used to calculate audio output levels and any technique used. For example, a lookup table algorithm and/or fuzzy logic can be used within the calculation engine <b>125</b> to determine output levels and to improve processing time.
[0030] The component arrangement depicted within FIG. 1 is one possible arrangement for the described components and should not be taken as the only possible arrangement of the invention. For example, in one embodiment, the volume control system <b>102</b> can be integrated with the TTS application <b>105</b> as opposed to being separately implemented as depicted in FIG. 1. Since the ambient noise <b>140</b> and speech output <b>145</b> should both reside within the same perceptual environment, the receiving transducer <b>120</b> and the audio transducer <b>110</b> are preferably disposed within the same audio environment <b>104</b>. No other geographic restrictions exist within the system <b>100</b> so long as the components depicted are communicatively linked to one another. For example, the calculation engine <b>125</b> can be a distributed application which accesses a variety of network dispersed data stores, processors, and/or applications.
[0031]FIG. 2 is a flow chart illustrating a method <b>200</b> for compensating for ambient noise using the system of FIG. 1. The method <b>200</b> can be performed in the context of a TTS generation system including at least one audio transducer for playing generated speech and at least one ambient noise detection device. The method can begin in step <b>205</b>, where an output signal (speech output) produced by the TTS application can be identified. Alternatively stated, the method <b>200</b> can begin when speech has been synthetically generated and is about to be audibly played. In step <b>210</b>, before the speech output is played, an input can be received from the audio environment by a receiving transducer that detects an ambient noise level. The audio environment from which the ambient noise level sample is taken should be the same perceptual environment in which the speech output is to be played. Such an ambient noise level input can be an audio sample taken with a microphone, or a measurement recorded by an SPL detection device, such as an SPL meter. In step <b>215</b>, a measurement of the ambient noise can be determined using the ambient noise level input.
[0032] In step <b>220</b>, a determination can be made as to whether any customized output settings exist. In one embodiment, output settings, such as a preferred volume and/or SNR, can be set by a user of the method <b>220</b>. In another embodiment, hardware output devices can impose limitations, such as maximum and minimum volume range. Notably, the characteristics of the hardware utilized within method <b>200</b> can be quantified so that these characteristics can be considered when performing adjustment calculations. In step <b>225</b>, an audio output level can be calculated. Such a calculation can take any customized input and/or output settings, if any, into account.
[0033] In step <b>230</b>, the volume of the speech output can be adjusted responsive to the calculated output level. For example, the amplitude of a generated audio signal can be adjusted and/or the amplifier connected to the audio transducer can be adjusted. This adjustment need not be exact and can be modified conform to capabilities and features of an audio system including the audio transducer. For example, if a calculated volume level exceeds the maximum volume of an audio system, the volume of the audio system can be adjusted to this maximum level. In step <b>235</b>, the speech input produced by the TTS application can be conveyed to the audio transducer. In step <b>240</b>, the audio transducer can produce a sonic output containing the synthetically produced speech at the established audio output level.
[0034] It should be noted that, as used herein, an audio environment can include the ambient noise detection devices as well as the audio transducer that plays the speech output. The other system components can be widely distributed and need not be contained within the audio environment. For example, the text to speech application can be distributed across a computer network and distributed to multiple client computers, each located within individual audio environments.
[0035] In another example, a user can subscribe to a Web service that provides TTS processing in accordance with this invention. In such an example, the ambient noise level can be detected within the user's environment and submitted across the Internet to the provider of the Web service. The provider can perform the output level calculations, and generate speech at an output level appropriate for the calculations. This speech audio output can be submitted across the Internet to the user where it can be played by an audio transducer.
[0036] The present invention can be realized in hardware, software, or a combination of hardware and software. The present invention can be realized in a centralized fashion in one computer system or in a distributed fashion where different elements are spread across several interconnected computer systems. Any kind of computer system or other apparatus adapted for carrying out the methods described herein is suited. A typical combination of hardware and software can be a general-purpose computer system with a computer program that, when being loaded and executed, controls the computer system having suitable audio circuitry and components, such that it carries out the methods described herein. The present invention can further be implemented in a modular component system, whether implemented diversely across many components or embedded within a single component.
[0037] The present invention also can be embedded in a computer program product, which comprises all the features enabling the implementation of the methods described herein, and which when loaded in a computer system is able to carry out these methods. Computer program in the present context means any expression, in any language, code or notation, of a set of instructions intended to cause a system having an information processing capability to perform a particular function either directly or after either or both of the following: a) conversion to another language, code or notation; b) reproduction in a different material form.
[0038] This invention can be embodied in other forms without departing from the spirit or essential attributes thereof. Accordingly, reference should be made to the following claims, rather than to the foregoing specification, as indicating the scope of the invention.
Contents4
3 sheets
Sheet 1 Sheet 2 Sheet 3
Every citation, both ways
| Document | Relation | Office | Cited during |
|---|---|---|---|
| EP2175442A1 | Cited by | European Patent Office (EPO) | Search report |
| US10891946B2 | Cited by | United States of America | Search report |
| US8165881B2 | Cited by | United States of America | Applicant |
| US2006122840A1 | Cited by | United States of America | Pre-grant |
| US11315544B2 | Cited by | United States of America | Search report |
| US2013185066A1 | Cited by | United States of America | Pre-grant |
| WO2013189434A2 | Cited by | World Intellectual Property Organization (WIPO) | International search |
| WO2017171864A1 | Cited by | World Intellectual Property Organization (WIPO) | International search |
| US2017358301A1 | Cited by | United States of America | Pre-grant |
| US2019373388A1 | Cited by | United States of America | Search report |
| US2010057464A1 | Cited by | United States of America | Pre-grant |
| WO2013189434A3 | Cited by | World Intellectual Property Organization (WIPO) | International search |
| US11721331B1 | Cited by | United States of America | Search report |
| US2015088522A1 | Cited by | United States of America | Pre-grant |
| US2007188308A1 | Cited by | United States of America | Pre-grant |
| US11321047B2 | Cited by | United States of America | Search report |
| US12057139B2 | Cited by | United States of America | Applicant |
| US10192552B2 | Cited by | United States of America | Search report |
| US8706540B2 | Cited by | United States of America | Applicant |
| US11810545B2 | Cited by | United States of America | Applicant |
| US11817078B2 | Cited by | United States of America | Applicant |
| US2009112582A1 | Cited by | United States of America | Pre-grant |
| US2010057465A1 | Cited by | United States of America | Pre-grant |
| US11837253B2 | Cited by | United States of America | Applicant |
| EP2182511A1 | Cited by | European Patent Office (EPO) | Search report |
| CN108335700A | Cited by | China | Search report |
| US9099972B2 | Cited by | United States of America | Applicant |
| US9418674B2 | Cited by | United States of America | Search report |
| US2018033424A1 | Cited by | United States of America | Search report |
| US2006256776A1 | Cited by | United States of America | Pre-grant |
| KR20170001453U | Cited by | Republic of Korea | Search report |
| US11335322B2 | Cited by | United States of America | Search report |
| US9697818B2 | Cited by | United States of America | Search report |
| US7778407B2 | Cited by | United States of America | Search report |
| US2016094927A1 | Cited by | United States of America | Pre-grant |
| US2004170284A1 | Cites | United States of America | Pre-grant |
| US4278838A | Cites | United States of America | Pre-grant |
| US4630305A | Cites | United States of America | Pre-grant |
| US4747143A | Cites | United States of America | Pre-grant |
| US4771472A | Cites | United States of America | Pre-grant |
| US4797924A | Cites | United States of America | Pre-grant |
| US5329243A | Cites | United States of America | Pre-grant |
| US5581621A | Cites | United States of America | Pre-grant |
| US5615256A | Cites | United States of America | Pre-grant |
| US5666384A | Cites | United States of America | Pre-grant |
| US5708722A | Cites | United States of America | Pre-grant |
| US5717827A | Cites | United States of America | Pre-grant |
| US5822402A | Cites | United States of America | Pre-grant |
| US5937377A | Cites | United States of America | Pre-grant |
| US5983183A | Cites | United States of America | Pre-grant |
| US6081780A | Cites | United States of America | Pre-grant |
| US6141642A | Cites | United States of America | Pre-grant |
| US6195632B1 | Cites | United States of America | Pre-grant |
| US6631179B1 | Cites | United States of America | Pre-grant |
| US6744882B1 | Cites | United States of America | Pre-grant |
3 members in 2 offices
Priority claims2
| Document | Office | Kind | Date |
|---|---|---|---|
| 39603703 | United States of America | A | |
| US20030396037 | – | – | – |
Members3
| Document | Office | Kind | |
|---|---|---|---|
| US2004193422A1 | United States of America | A1 | |
| WO2004086358A1 | World Intellectual Property Organization (WIPO) | A1 | |
| US6988068B2 | United States of America | B2 |
28 legal events, as the office reported them to INPADOC
Over the term
Point at a mark for the eventEvents
| Event | Code | |
|---|---|---|
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| Fee paymentFPAY | FPAY | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| Fee paymentFPAY | FPAY | |
| Fee paymentFPAY | FPAY | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| AssignmentAS | AS | |
| Information on status: patent grantGrantedPATENTED CASESTCF | STCF | |
| Fee payment procedurePAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITYFEPP | FEPP | |
| AssignmentAS | AS |
Numbers
- Publication, DOCDB
- 2004193422
- Publication, EPODOC
- US2004193422
- Application
- 396037
- Application, DOCDB
- 39603703
- Application, EPODOC
- US20030396037
Titles
- English
- Compensating for ambient noise levels in text-to-speech applications
Classification
- CPC, 2
- G10L13/033
- H03G3/32
- IPC, 2
- G10L13 02
- H03G3 32
- USPC, 2
- 704260000
- 704E13004