A framework for computational modelling of interaural time difference discrimination of normal and hearing-impaired listeners

Arturo Moncada-Torres*, Suyash Narendra Joshi, Andreas Prokopiou, Jan Wouters, Bastian Epp, Tom Francart

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Different computational models have been developed to study the interaural time difference (ITD) perception. However, only few have used a physiologically inspired architecture to study ITD discrimination. Furthermore, they do not include aspects of hearing impairment. In this work, a framework was developed to predict ITD thresholds in listeners with normal and impaired hearing. It combines the physiologically inspired model of the auditory periphery proposed by Zilany, Bruce, Nelson, and Carney [(2009). J. Acoust. Soc. Am. 126(5), 2390–2412] as a front end with a coincidence detection stage and a neurometric decision device as a back end. It was validated by comparing its predictions against behavioral data for narrowband stimuli from literature. The framework is able to model ITD discrimination of normal-hearing and hearing-impaired listeners at a group level. Additionally, it was used to explore the effect of different proportions of outer- and inner-hair cell impairment on ITD discrimination.
Original languageEnglish
JournalJournal of the Acoustical Society of America
Volume144
Issue number2
Pages (from-to)940–954
ISSN0001-4966
DOIs
Publication statusPublished - 2018

Cite this

Moncada-Torres, Arturo ; Joshi, Suyash Narendra ; Prokopiou, Andreas ; Wouters, Jan ; Epp, Bastian ; Francart, Tom. / A framework for computational modelling of interaural time difference discrimination of normal and hearing-impaired listeners. In: Journal of the Acoustical Society of America. 2018 ; Vol. 144, No. 2. pp. 940–954.
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abstract = "Different computational models have been developed to study the interaural time difference (ITD) perception. However, only few have used a physiologically inspired architecture to study ITD discrimination. Furthermore, they do not include aspects of hearing impairment. In this work, a framework was developed to predict ITD thresholds in listeners with normal and impaired hearing. It combines the physiologically inspired model of the auditory periphery proposed by Zilany, Bruce, Nelson, and Carney [(2009). J. Acoust. Soc. Am. 126(5), 2390–2412] as a front end with a coincidence detection stage and a neurometric decision device as a back end. It was validated by comparing its predictions against behavioral data for narrowband stimuli from literature. The framework is able to model ITD discrimination of normal-hearing and hearing-impaired listeners at a group level. Additionally, it was used to explore the effect of different proportions of outer- and inner-hair cell impairment on ITD discrimination.",
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A framework for computational modelling of interaural time difference discrimination of normal and hearing-impaired listeners. / Moncada-Torres, Arturo ; Joshi, Suyash Narendra; Prokopiou, Andreas; Wouters, Jan; Epp, Bastian; Francart, Tom.

In: Journal of the Acoustical Society of America, Vol. 144, No. 2, 2018, p. 940–954.

Research output: Contribution to journalJournal articleResearchpeer-review

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