Multi-resolution analysis by empirical mode decomposition for usable speech detection

Many applications of speech communication and speaker identification suffer from the problem of co-channel speech. This paper deals with a multi-resolution analysis by 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 evaluation of this method is performed on TIMIT database.