Investigating the role of harmonic cancellation in speech-on-speech masking

Release from same-talker speech-in-speech masking: Effects of masker intelligibility and other contributing factorsa)

Human speech perception declines in the presence of masking speech, particularly when the masker is intelligible and acoustically similar to the target. A prior investigation demonstrated a substantial reduction in masking when the intelligibility of competing speech was reduced by corrupting voiced segments with noise [Huo, Sun, Fogerty, and Tang (2023), "Quantifying informational masking due to masker intelligibility in same-talker speech-in-speech perception," in Interspeech 2023, pp. 1783-1787]. As this processing also reduced the prominence of voiced segments, it was unclear whether the unmasking was due to reduced linguistic content, acoustic similarity, or both. The current study compared the masking of original competing speech (high intelligibility) to competing speech with time reversal of voiced segments (VS-reversed, low intelligibility) at various target-to-masker ratios. Modeling results demonstrated similar energetic masking between the two maskers. However, intelligibility of the target speech was considerably better with the VS-reversed masker compared to the original masker, likely due to the reduced linguistic content. Further corrupting the masker's voiced segments resulted in additional release from masking. Acoustic analyses showed that the portion of target voiced segments overlapping with masker voiced segments and the similarity between target and masker overlapped voiced segments impacted listeners' speech recognition. Evidence also suggested modulation masking in the spectro-temporal domain interferes with listeners' ability to glimpse the target.

No evidence for a benefit from masker harmonicity in the perception of speech in noise

When assessing the intelligibility of speech embedded in background noise, maskers with a harmonic spectral structure have been found to be much less detrimental to performance than noise-based interferers. While spectral "glimpsing" in between the resolved masker harmonics and reduced envelope modulations of harmonic maskers have been shown to contribute, this effect has primarily been attributed to the proposed ability of the auditory system to cancel harmonic maskers from the signal mixture. Here, speech intelligibility in the presence of harmonic and inharmonic maskers with similar spectral glimpsing opportunities and envelope modulation spectra was assessed to test the theory of harmonic cancellation. Speech reception thresholds obtained from normal-hearing listeners revealed no effect of masker harmonicity, neither for maskers with static nor dynamic pitch contours. The results show that harmonicity, or time-domain periodicity, as such, does not aid the segregation of speech and masker. Contrary to what might be assumed, this also implies that the saliency of the masker pitch did not affect auditory grouping. Instead, the current data suggest that the reduced masking effectiveness of harmonic sounds is due to the regular spacing of their spectral components.

A dynamic binaural harmonic-cancellation model to predict speech intelligibility against a harmonic masker varying in intonation, temporal envelope, and location

The aim of this study was to extend the harmonic-cancellation model proposed by Prud'homme et al. [J. Acoust. Soc. Am. 148 (2020) 3246--3254] to predict speech intelligibility against a harmonic masker, so that it takes into account binaural hearing, amplitude modulations in the masker and variations in masker fundamental frequency (F0) over time. This was done by segmenting the masker signal into time frames and combining the previous long-term harmonic-cancellation model with the binaural model proposed by Vicente and Lavandier [Hear. Res. 390 (2020) 107937]. The new model was tested on the data from two experiments involving harmonic complex maskers that varied in spatial location, temporal envelope and F0 contour. The interactions between the associated effects were accounted for in the model by varying the time frame duration and excluding the binaural unmasking computation when harmonic cancellation is active. Across both experiments, the correlation between data and model predictions was over 0.96, and the mean and largest absolute prediction errors were lower than 0.6 and 1.5 dB, respectively.