@article{(Open Science Index):https://publications.waset.org/pdf/9967,
	  title     = {Evaluation of a Multi-Resolution Dyadic Wavelet Transform Method for usable Speech Detection},
	  author    = {Wajdi Ghezaiel and  Amel Ben Slimane Rahmouni and  Ezzedine Ben Braiek},
	  country	= {},
	  institution	= {},
	  abstract     = {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%.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {5},
	  number    = {7},
	  year      = {2011},
	  pages     = {856 - 860},
	  ee        = {https://publications.waset.org/pdf/9967},
	  url   	= {https://publications.waset.org/vol/55},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 55, 2011},