A dynamic binaural harmonic-cancellation model to predict speech intelligibility against a harmonic masker varying in...

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.