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Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners

Spectrotemporal modulations (STM) are essential features of speech signals that make them intelligible. While their encoding has been widely investigated in neurophysiology, we still lack a full understanding of how STMs are processed at the behavioral level and how cochlear hearing loss impacts thi...

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Autores principales: Ponsot, Emmanuel, Varnet, Léo, Wallaert, Nicolas, Daoud, Elza, Shamma, Shihab A., Lorenzi, Christian, Neri, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905488/
https://www.ncbi.nlm.nih.gov/pubmed/33620023
http://dx.doi.org/10.1177/2331216520978029
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author Ponsot, Emmanuel
Varnet, Léo
Wallaert, Nicolas
Daoud, Elza
Shamma, Shihab A.
Lorenzi, Christian
Neri, Peter
author_facet Ponsot, Emmanuel
Varnet, Léo
Wallaert, Nicolas
Daoud, Elza
Shamma, Shihab A.
Lorenzi, Christian
Neri, Peter
author_sort Ponsot, Emmanuel
collection PubMed
description Spectrotemporal modulations (STM) are essential features of speech signals that make them intelligible. While their encoding has been widely investigated in neurophysiology, we still lack a full understanding of how STMs are processed at the behavioral level and how cochlear hearing loss impacts this processing. Here, we introduce a novel methodological framework based on psychophysical reverse correlation deployed in the modulation space to characterize the mechanisms underlying STM detection in noise. We derive perceptual filters for young normal-hearing and older hearing-impaired individuals performing a detection task of an elementary target STM (a given product of temporal and spectral modulations) embedded in other masking STMs. Analyzed with computational tools, our data show that both groups rely on a comparable linear (band-pass)–nonlinear processing cascade, which can be well accounted for by a temporal modulation filter bank model combined with cross-correlation against the target representation. Our results also suggest that the modulation mistuning observed for the hearing-impaired group results primarily from broader cochlear filters. Yet, we find idiosyncratic behaviors that cannot be captured by cochlear tuning alone, highlighting the need to consider variability originating from additional mechanisms. Overall, this integrated experimental-computational approach offers a principled way to assess suprathreshold processing distortions in each individual and could thus be used to further investigate interindividual differences in speech intelligibility.
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spelling pubmed-79054882021-03-18 Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners Ponsot, Emmanuel Varnet, Léo Wallaert, Nicolas Daoud, Elza Shamma, Shihab A. Lorenzi, Christian Neri, Peter Trends Hear Original Article Spectrotemporal modulations (STM) are essential features of speech signals that make them intelligible. While their encoding has been widely investigated in neurophysiology, we still lack a full understanding of how STMs are processed at the behavioral level and how cochlear hearing loss impacts this processing. Here, we introduce a novel methodological framework based on psychophysical reverse correlation deployed in the modulation space to characterize the mechanisms underlying STM detection in noise. We derive perceptual filters for young normal-hearing and older hearing-impaired individuals performing a detection task of an elementary target STM (a given product of temporal and spectral modulations) embedded in other masking STMs. Analyzed with computational tools, our data show that both groups rely on a comparable linear (band-pass)–nonlinear processing cascade, which can be well accounted for by a temporal modulation filter bank model combined with cross-correlation against the target representation. Our results also suggest that the modulation mistuning observed for the hearing-impaired group results primarily from broader cochlear filters. Yet, we find idiosyncratic behaviors that cannot be captured by cochlear tuning alone, highlighting the need to consider variability originating from additional mechanisms. Overall, this integrated experimental-computational approach offers a principled way to assess suprathreshold processing distortions in each individual and could thus be used to further investigate interindividual differences in speech intelligibility. SAGE Publications 2021-02-23 /pmc/articles/PMC7905488/ /pubmed/33620023 http://dx.doi.org/10.1177/2331216520978029 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Ponsot, Emmanuel
Varnet, Léo
Wallaert, Nicolas
Daoud, Elza
Shamma, Shihab A.
Lorenzi, Christian
Neri, Peter
Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners
title Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners
title_full Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners
title_fullStr Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners
title_full_unstemmed Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners
title_short Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners
title_sort mechanisms of spectrotemporal modulation detection for normal- and hearing-impaired listeners
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905488/
https://www.ncbi.nlm.nih.gov/pubmed/33620023
http://dx.doi.org/10.1177/2331216520978029
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