System and method for identifying semantic intent from acoustic information
First Claim
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1. A method of processing acoustic information, comprising:
- extracting a plurality of sets of acoustic information of interest from a data store;
performing speech recognition on the acoustic information to obtain speech recognition results;
clustering the sets of acoustic information into clusters based on a semantic analysis of the speech recognition results; and
identifying, for each cluster, a set of acoustic information as being representative of a corresponding cluster.
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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.
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Citations
40 Claims
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1. A method of processing acoustic information, comprising:
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extracting a plurality of sets of acoustic information of interest from a data store;
performing speech recognition on the acoustic information to obtain speech recognition results;
clustering the sets of acoustic information into clusters based on a semantic analysis of the speech recognition results; and
identifying, for each cluster, a set of acoustic information as being representative of a corresponding cluster. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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27. A system for processing acoustic information, comprising:
a clustering component configured to cluster sets of acoustic information, from an application, into clusters based on a semantic analysis of speech recognition results of speech recognition performed on the sets of acoustic information, and to identify, for each cluster, a set of acoustic information as being representative of a corresponding cluster. - View Dependent Claims (28, 29, 30, 31, 32, 33, 34, 35, 36, 37)
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38. A computer readable medium storing instructions which, when executed by a computer, cause the computer to process acoustic information by performing steps of:
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extracting a plurality of sets of acoustic information of interest from a data store;
performing speech recognition on the acoustic information to obtain speech recognition results;
clustering the sets of acoustic information into clusters based on a semantic analysis of the speech recognition results; and
identifying, for each cluster, a set of acoustic information as being representative of a corresponding cluster. - View Dependent Claims (39, 40)
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Specification