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Sound source separation using phase difference and reliable mask selection

Chanwoo Kim
Anjali Menon
Richard M. Stern
ICASSP (2018) (to appear)


In this paper, we present an algorithm called Reliable Mask Selection- Phase Difference Channel Weighting (RMS-PDCW) which selects the target source masked by a noise source using the Angle of Arrival (AoA) information calculated using the phase difference informa- tion. The RMS-PDCW algorithm selects masks to apply using the information about the localized sound source and the onset detec- tion of speech. We demonstrate that this algorithm shows relatively 5.3 percent improvement over the baseline acoustic model, which was multistyle-trained using 22 million utterances on the simulated test set consisting of real-world and interfering-speaker noise with reverberation time distribution between 0 ms and 900 ms and SNR distribution between 0 dB up to clean.

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