Empirical mode decomposition for usable speech detection

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.