Blind separation of speech mixtures via time-frequency masking
IEEE Transactions on Signal Processing
A multistage approach to blind separation of convolutive speech mixtures
Speech Communication
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The objective of this study is to analyze the limitations of techniques for blind source separation (BSS ) of convolved mixtures based on time-frequency domain binary masking. In this study, initially, the limitations of the spectrum masking technique as a function of the reverberation time of the signals that compose the mixture to be separated are analyzed. When the ideal masks are known, a separation of about 9 dB is obtained for the case of an environment with reverberation time less than 300 ms . From this point on, as the reverberation time increases, the signals that compose the mixture spread over the time-frequency plane, progressively reducing the separation process performance. Finally, a subjective test to measure the intelligibility of the separated voice signals using an ideal binary mask is also proposed for different reverberation times.