%0 Journal Article
	%A Wajdi Ghezaiel and  Amel Ben Slimane Rahmouni and  Ezzedine Ben Braiek
	%D 2011
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 55, 2011
	%T Evaluation of a Multi-Resolution Dyadic Wavelet Transform Method for usable Speech Detection
	%U https://publications.waset.org/pdf/9967
	%V 55
	%X Many applications of speech communication and speaker
identification suffer from the problem of co-channel speech. This
paper deals with a multi-resolution dyadic wavelet transform method
for usable segments of co-channel speech detection that could be
processed by a speaker identification system. Evaluation of this
method is performed on TIMIT database referring to the Target to
Interferer Ratio measure. Co-channel speech is constructed by
mixing all possible gender speakers. Results do not show much
difference for different mixtures. For the overall mixtures 95.76% of
usable speech is correctly detected with false alarms of 29.65%.
	%P 856 - 860