A powerful tool to investigate speech perception is the use of speech intelligibility prediction models. Recently, a model was presented, termed correlation-based speechbased envelope power spectrum model (sEPSMcorr) , based on the auditory processing of the multi-resolution speech-based Envelope Power Spectrum Model (mr-sEPSM) , combined with the correlation back-end of the Short-Time Objective Intelligibility measure (STOI) . The sEPSMcorr can accurately predict NH data for a broad range of listening conditions, e.g., additive noise, phase jitter and ideal binary mask processing.
|Number of pages||1|
|Publication status||Published - 2017|
|Event||40th MidWinter Meeting of the Association for Research in Otolaryngology - Baltimore Marriott Waterfront , Baltimore, United States|
Duration: 11 Feb 2017 → 15 Feb 2017
|Conference||40th MidWinter Meeting of the Association for Research in Otolaryngology|
|Location||Baltimore Marriott Waterfront|
|Period||11/02/2017 → 15/02/2017|