EP1669980A3

System and method for identifiying semantic intent from acoustic information

Abstract

In accordance with one embodiment of the present invention, unanticipated semantic intents are discovered in audio data in an unsupervised manner. For instance, the audio acoustics are clustered based on semantic intent and representative acoustics are chosen for each cluster. The human then need only listen to a small number of representative acoustics for each cluster (and possibly only one per cluster) in order to identify the unforeseen semantic intents.This result can be used in order to update the rules of an interactive voice response system in order to reduce the occurence of out-of-grammar alterances

EP1669980A3, drawing sheet 1
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Projected expiry passed 22 November 2025, 0.8 years ago.

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