Modeling speech intelligibility with recovered envelope from temporal fine structure stimulus

Temporal envelope and fine structure are two prominent acoustic cues for speech perception. Most existing speech-transmission-index-based metrics make use of the temporal envelope information and discard the temporal fine structure (TFS) cue to predict speech intelligibility. Recent studies have shown that the TFS stimulus synthesized with multiband TFS waveforms contains rich intelligibility information, which is reflected as the recovered envelope from the TFS stimulus. The present study first assessed the performance of using the recovered envelope from the synthesized TFS stimulus to predict the intelligibility of noise-distorted and noise-suppressed speech. The TFS stimulus was synthesized and fed as an input into the conventional normalized covariance measure (NCM) module. The results showed that the recovered envelope from the TFS stimulus predicted the intelligibility as well as the original envelope extracted from the wideband speech signal did. In addition, an additive intelligibility model was designed to combine the envelope from wideband speech and the recovered envelope from the TFS stimulus to predict speech intelligibility. The prediction power was significantly improved when these two envelope waveforms were integrated. The present study suggests that the recovered envelope from the TFS stimulus may be alternative acoustic information for modeling speech intelligibility and improving the prediction power of the conventional NCM-based intelligibility index.