System and method for identifying semantic intent from acoustic information
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United States of America Patent
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Dec 15, 2009
Grant Date -
Jun 15, 2006
app pub date -
Dec 10, 2004
filing date -
Dec 10, 2004
priority date (Note) -
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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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