Empirical mode decomposition for usable speech detection

Electrical Engineering and Software Applications(2013)

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摘要
Usable speech criteria are proposed to extract minimally corrupted speech for speaker identification in co-channel speech. This paper deals with a empirical mode decomposition for usable speech segments detection of co-channel speech. Usable speech detected could be processed by a speaker identification system. Experiment and simulation of this method is performed on TIMIT database.
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关键词
speaker recognition,speech recognition,timit database,cochannel speech,empirical mode decomposition,speaker identification system,usable speech detection,co-channel speech,speaker identification,usable segment,correlation,wavelet transforms,speech,speech processing
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