Factors influencing intelligibility of ideal binary-masked speech: Implications for noise reduction

Abstract

The application of the ideal binary mask to an auditory mixture has been shown to yield substantial improvements in intelligibility. This mask is commonly applied to the time–frequency $(T–F)$ representation of a mixture signal and eliminates portions of a signal below a signal-to-noise-ratio (SNR) threshold while allowing others to pass through intact. The factors influencing intelligibility of ideal binary-masked speech are not well understood and are examined in the present study. Specifically, the effects of the local SNR threshold, input SNR level, masker type, and errors introduced in estimating the ideal mask are examined. Consistent with previous studies, intelligibility of binary-masked stimuli is quite high even at $-10\mathrm{dB}$ SNR for all maskers tested. Performance was affected the most when the masker dominated $T–F$ units were wrongly labeled as target-dominated $T–F$ units. Performance plateaued near 100% correct for SNR thresholds ranging from $-20\text{to}5\mathrm{dB}$ . The existence of the plateau region suggests that it is the pattern of the ideal binary mask that matters the most rather than the local SNR of each $T–F$ unit. This pattern directs the listener’s attention to where the target is and enables them to segregate speech effectively in multitalker environments.