Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain

Research output: Contribution to conferencePoster – Annual report year: 2017Research


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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) [1], based on the auditory processing of the multi-resolution speech-based Envelope Power Spectrum Model (mr-sEPSM) [2], combined with the correlation back-end of the Short-Time Objective Intelligibility measure (STOI) [3]. 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.
Original languageEnglish
Publication date2017
Number of pages1
Publication statusPublished - 2017
Event40th MidWinter Meeting of the Association for Research in Otolaryngology - Baltimore Marriott Waterfront , Baltimore, United States
Duration: 11 Feb 201715 Feb 2017


Conference40th MidWinter Meeting of the Association for Research in Otolaryngology
LocationBaltimore Marriott Waterfront
CountryUnited States

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