Comparison of a target-equalization-cancellation approach and a localization approach to source separation.

Interaural differences are important for listeners to be able to maintain focus on a sound source of interest in the presence of multiple sources. Because interaural differences are sound localization cues, most binaural-cue-based source separation algorithms attempt separation by localizing each time-frequency (T-F) unit to one of the possible source directions using interaural differences. By assembling T-F units that are assigned to one direction, the sound stream from that direction is enhanced. In this paper, a different type of binaural cue for source-separation purposes is proposed. For each T-F unit, the target-direction signal is cancelled by applying the equalization-cancellation (EC) operation to cancel the signal from the target direction; then, the dominance of the target in each T-F unit is determined by the effectiveness of the cancellation. Specifically, the energy change from cancellation is used as the criterion for target dominance for each T-F unit. Source-separation performance using the target-EC cue is compared with performance using localization cues. With simulated multi-talker and diffuse-babble interferers, the algorithm based on target-EC cues yields better source-separation performance than the algorithm based on localization cues, both in direct comparison with the ideal binary mask and in measured speech intelligibility for the separated target streams. (C) 2017 Acoustical Society of America.