Westman, Champlin & Kelly, P.A.
System and method for identifying semantic intent from acoustic information
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.
Microsoft Corporation
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inventional additional
Dong Milind Alejandro Xiao Asela J.
Yu Mahajan Acero Li Gunawardana