Blind Separation of Speech Convolutive Mixtures via Time-Frequency Masking
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چکیده
An ideal binary masking, which specifies regions in the time-frequency domain whose concerned signal energy is greater than the interference signals is analyzed. The performance of the signal separation when these ideal binary masks are applied is evaluated. In the tests, these ideal masks remove almost all the interference from the other source of convolutive mixtures using simulated room impulses. A method for blind signal separation in the time-frequency domain using only the relative amplitude information of each time-frequency cluster cells is proposed . In reverberant environment the proposed method can not identify the clusters, but we may find out that the referring attenuation values of each source are concentrated in the extremities of the curve of relative attenuation histogram. Experimental results show that our proposed method can separate signals with little interference from the other source even in a real reverberant environment.
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تاریخ انتشار 2007