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Many applications of speech communication and speaker identification sufferfrom the problem of co-channel speech. This paper deals with a multi-resolutiondyadic wavelet transform method for usable segments of co-channel speechdetection that could be processed by a speaker identification system.Evaluation of this method is performed on TIMIT database referring to theTarget to Interferer Ratio measure. Co-channel speech is constructed by mixingall possible gender speakers. Results do not show much difference for differentmixtures. For the overall mixtures 95.76% of usable speech is correctlydetected with false alarms of 29.65%.

Evaluation of a Multi-Resolution Dyadic Wavelet Transform Method for usable Speech Detection