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

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

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

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

University of Rochester

Research output: Contribution to conference › Poster › Research › peer-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 language	English
Publication date	2018
Number of pages	1
Publication status	Published - 2018
Event	41st Midwinter Meeting of the Association for Research in Otolaryngology - Manchester Grand Hyatt, San Diego, United States Duration: 10 Feb 2018 → 14 Feb 2018 Conference number: 41

Conference

Conference	41st Midwinter Meeting of the Association for Research in Otolaryngology
Number	41
Location	Manchester Grand Hyatt
Country/Territory	United States
City	San Diego
Period	10/02/2018 → 14/02/2018

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Zaar et al poster ARO2018Final published version, 1.57 MB

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Cite this

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title = "Predicting Speech Intelligibility based on Fluctuations in Simulated Auditory-Nerve Responses",

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{\textquoteright} decision stages typically interact strongly with the type of auditory front-end processing applied.",

author = "Johannes Zaar and Christoph Scheidiger and Carney, {Laurel H.} and Torsten Dau",

year = "2018",

language = "English",

note = "41st Midwinter Meeting of the Association for Research in Otolaryngology , ARO 2018 ; Conference date: 10-02-2018 Through 14-02-2018",

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Predicting Speech Intelligibility based on Fluctuations in Simulated Auditory-Nerve Responses. / Zaar, Johannes; Scheidiger, Christoph; Carney, Laurel H. et al.
2018. Poster session presented at 41st Midwinter Meeting of the Association for Research in Otolaryngology , San Diego, California, United States.

Research output: Contribution to conference › Poster › Research › peer-review

TY - CONF

T1 - Predicting Speech Intelligibility based on Fluctuations in Simulated Auditory-Nerve Responses

AU - Zaar, Johannes

AU - Scheidiger, Christoph

AU - Carney, Laurel H.

AU - Dau, Torsten

N1 - Conference code: 41

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

M3 - Poster

T2 - 41st Midwinter Meeting of the Association for Research in Otolaryngology

Y2 - 10 February 2018 through 14 February 2018

ER -