Evaluation Of A Multi-Resolution Dyadic Wavelet Transform Method For Usable Speech Detection

Wajdi Ghezaiel, Amel Ben Slimane Rahmouni, Ezzedine Ben Braiek
2011 Zenodo  
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
more » ... . 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%.
doi:10.5281/zenodo.1074361 fatcat:anrtuwgigzaazkxyqwhyw5oxne