Predicting Speech Intelligibility based on Fluctuations in Simulated Auditory-Nerve Responses

Johannes Zaar, Christoph Scheidiger, Laurel H. Carney, Torsten Dau

Research output: Contribution to conferencePosterResearchpeer-review

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Abstract

Various speech intelligibility (SI) models have been proposed to predict the ability of normal-hearing (NH) listeners to understand speech in adverse listening conditions. However, most current SI models are based on a strongly simplified linear simulation of the highly non-linear auditory periphery, which limits their ability to predict effects of hearing impairment on SI. At the same time, the models’ decision stages typically interact strongly with the type of auditory front-end processing applied.
Original languageEnglish
Publication date2018
Number of pages1
Publication statusPublished - 2018
Event41st Midwinter Meeting of the Association for Research in Otolaryngology - Manchester Grand Hyatt, San Diego, United States
Duration: 10 Feb 201814 Feb 2018
Conference number: 41

Conference

Conference41st Midwinter Meeting of the Association for Research in Otolaryngology
Number41
LocationManchester Grand Hyatt
Country/TerritoryUnited States
CitySan Diego
Period10/02/201814/02/2018

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