@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}, }