How musical expertise shapes speech perception: evidence from auditory classification images
Identifieur interne : 000186 ( Main/Exploration ); précédent : 000185; suivant : 000187How musical expertise shapes speech perception: evidence from auditory classification images
Auteurs : Léo Varnet [France] ; Tianyun Wang [France] ; Chloe Peter [France] ; Fanny Meunier [France] ; Michel Hoen [France]Source :
- Scientific Reports ; 2015.
Abstract
It is now well established that extensive musical training percolates to higher levels of cognition, such as speech processing. However, the lack of a precise technique to investigate the specific listening strategy involved in speech comprehension has made it difficult to determine how musicians’ higher performance in non-speech tasks contributes to their enhanced speech comprehension. The recently developed Auditory Classification Image approach reveals the precise time-frequency regions used by participants when performing phonemic categorizations in noise. Here we used this technique on 19 non-musicians and 19 professional musicians. We found that both groups used very similar listening strategies, but the musicians relied more heavily on the two main acoustic cues, at the first formant onset and at the onsets of the second and third formants onsets. Additionally, they responded more consistently to stimuli. These observations provide a direct visualization of auditory plasticity resulting from extensive musical training and shed light on the level of functional transfer between auditory processing and speech perception.
Url:
DOI: 10.1038/srep14489
PubMed: 26399909
PubMed Central: 4585866
Affiliations:
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first="Léo" last="Varnet">Léo Varnet</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Auditory Language Processing (ALP) research group</institution>, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a2"><institution>Laboratoire sur le Langage le Cerveau et la Cognition, CNRS UMR 5304, Auditory Language Processing (ALP) research group</institution>, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Université de Lyon</institution>, Université Lyon 1, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Wang, Tianyun" sort="Wang, Tianyun" uniqKey="Wang T" first="Tianyun" last="Wang">Tianyun Wang</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Auditory Language Processing (ALP) research group</institution>, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a2"><institution>Laboratoire sur le Langage le Cerveau et la Cognition, CNRS UMR 5304, Auditory Language Processing (ALP) research group</institution>, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Université de Lyon</institution>, Université Lyon 1, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Peter, Chloe" sort="Peter, Chloe" uniqKey="Peter C" first="Chloe" last="Peter">Chloe Peter</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Auditory Language Processing (ALP) research group</institution>, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Université de Lyon</institution>, Université Lyon 1, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Meunier, Fanny" sort="Meunier, Fanny" uniqKey="Meunier F" first="Fanny" last="Meunier">Fanny Meunier</name><affiliation wicri:level="1"><nlm:aff id="a2"><institution>Laboratoire sur le Langage le Cerveau et la Cognition, CNRS UMR 5304, Auditory Language Processing (ALP) research group</institution>, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Université de Lyon</institution>, Université Lyon 1, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Hoen, Michel" sort="Hoen, Michel" uniqKey="Hoen M" first="Michel" last="Hoen">Michel Hoen</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Auditory Language Processing (ALP) research group</institution>, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Université de Lyon</institution>, Université Lyon 1, Lyon,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="a4"><institution>Oticon Medical – 2720 Chemin Saint Bernard</institution>, 06220 Vallauris,<country>France</country></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author></analytic><series><title level="j">Scientific Reports</title><idno type="e-ISSN">2045-2322</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>It is now well established that extensive musical training percolates to higher levels of cognition, such as speech processing. However, the lack of a precise technique to investigate the specific listening strategy involved in speech comprehension has made it difficult to determine how musicians’ higher performance in non-speech tasks contributes to their enhanced speech comprehension. The recently developed Auditory Classification Image approach reveals the precise time-frequency regions used by participants when performing phonemic categorizations in noise. Here we used this technique on 19 non-musicians and 19 professional musicians. We found that both groups used very similar listening strategies, but the musicians relied more heavily on the two main acoustic cues, at the first formant onset and at the onsets of the second and third formants onsets. Additionally, they responded more consistently to stimuli. These observations provide a direct visualization of auditory plasticity resulting from extensive musical training and shed light on the level of functional transfer between auditory processing and speech perception.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Kraus, N" uniqKey="Kraus N">N. Kraus</name></author><author><name sortKey="Skoe, E" uniqKey="Skoe E">E. Skoe</name></author><author><name sortKey="Parbery Clark, A" uniqKey="Parbery Clark A">A. Parbery-Clark</name></author><author><name sortKey="Ashley, R" uniqKey="Ashley R">R. Ashley</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wolfe, J" uniqKey="Wolfe J">J. Wolfe</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Deliang, W" uniqKey="Deliang W">W. DeLiang</name></author><author><name sortKey="Brown, G J" uniqKey="Brown G">G. J. 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Moreno</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>France</li></country></list><tree><country name="France"><noRegion><name sortKey="Varnet, Leo" sort="Varnet, Leo" uniqKey="Varnet L" first="Léo" last="Varnet">Léo Varnet</name></noRegion><name sortKey="Hoen, Michel" sort="Hoen, Michel" uniqKey="Hoen M" first="Michel" last="Hoen">Michel Hoen</name><name sortKey="Hoen, Michel" sort="Hoen, Michel" uniqKey="Hoen M" first="Michel" last="Hoen">Michel Hoen</name><name sortKey="Hoen, Michel" sort="Hoen, Michel" uniqKey="Hoen M" first="Michel" last="Hoen">Michel Hoen</name><name sortKey="Meunier, Fanny" sort="Meunier, Fanny" uniqKey="Meunier F" first="Fanny" last="Meunier">Fanny Meunier</name><name sortKey="Meunier, Fanny" sort="Meunier, Fanny" uniqKey="Meunier F" first="Fanny" last="Meunier">Fanny Meunier</name><name sortKey="Peter, Chloe" sort="Peter, Chloe" uniqKey="Peter C" first="Chloe" last="Peter">Chloe Peter</name><name sortKey="Peter, Chloe" sort="Peter, Chloe" uniqKey="Peter C" first="Chloe" last="Peter">Chloe Peter</name><name sortKey="Varnet, Leo" sort="Varnet, Leo" uniqKey="Varnet L" first="Léo" last="Varnet">Léo Varnet</name><name sortKey="Varnet, Leo" sort="Varnet, Leo" uniqKey="Varnet L" first="Léo" last="Varnet">Léo Varnet</name><name sortKey="Wang, Tianyun" sort="Wang, Tianyun" uniqKey="Wang T" first="Tianyun" last="Wang">Tianyun Wang</name><name sortKey="Wang, Tianyun" sort="Wang, Tianyun" uniqKey="Wang T" first="Tianyun" last="Wang">Tianyun Wang</name><name sortKey="Wang, Tianyun" sort="Wang, Tianyun" uniqKey="Wang T" first="Tianyun" last="Wang">Tianyun Wang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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