Method and system for recognizing, indexing, and searching acoustic signals
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United States of America Patent
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N/A
Issued Date -
Nov 22, 2001
app pub date -
May 21, 2001
filing date -
Jul 2, 1999
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A computerized method extracts features from an acoustic signal generated from one or more sources. The acoustic signal are first windowed and filtered to produce a spectral envelope for each source. The dimensionality of the spectral envelope is then reduced to produce a set of features for the acoustic signal. The features in the set are clustered to produce a group of features for each of the sources. The features in each group include spectral features and corresponding temporal features characterizing each source. Each group of features is a quantitative descriptor that is also associated with a qualitative descriptor. Hidden Markov models are trained with sets of known features and stored in a database. The database can then be indexed by sets of unknown features to select or recognize like acoustic signals.
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