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Meter enhances the subcortical processing of speech sounds at a strong beat
The temporal structure of sound such as in music and speech increases the efficiency of auditory processing by providing listeners with a predictable context. Musical meter is a good example of a sound structure that is temporally organized in a hierarchical manner, with recent studies showing that...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525485/ https://www.ncbi.nlm.nih.gov/pubmed/32994430 http://dx.doi.org/10.1038/s41598-020-72714-z |
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author | Moon, Il Joon Kang, Soojin Boichenko, Nelli Hong, Sung Hwa Lee, Kyung Myun |
author_facet | Moon, Il Joon Kang, Soojin Boichenko, Nelli Hong, Sung Hwa Lee, Kyung Myun |
author_sort | Moon, Il Joon |
collection | PubMed |
description | The temporal structure of sound such as in music and speech increases the efficiency of auditory processing by providing listeners with a predictable context. Musical meter is a good example of a sound structure that is temporally organized in a hierarchical manner, with recent studies showing that meter optimizes neural processing, particularly for sounds located at a higher metrical position or strong beat. Whereas enhanced cortical auditory processing at times of high metric strength has been studied, there is to date no direct evidence showing metrical modulation of subcortical processing. In this work, we examined the effect of meter on the subcortical encoding of sounds by measuring human auditory frequency-following responses to speech presented at four different metrical positions. Results show that neural encoding of the fundamental frequency of the vowel was enhanced at the strong beat, and also that the neural consistency of the vowel was the highest at the strong beat. When comparing musicians to non-musicians, musicians were found, at the strong beat, to selectively enhance the behaviorally relevant component of the speech sound, namely the formant frequency of the transient part. Our findings indicate that the meter of sound influences subcortical processing, and this metrical modulation differs depending on musical expertise. |
format | Online Article Text |
id | pubmed-7525485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75254852020-10-01 Meter enhances the subcortical processing of speech sounds at a strong beat Moon, Il Joon Kang, Soojin Boichenko, Nelli Hong, Sung Hwa Lee, Kyung Myun Sci Rep Article The temporal structure of sound such as in music and speech increases the efficiency of auditory processing by providing listeners with a predictable context. Musical meter is a good example of a sound structure that is temporally organized in a hierarchical manner, with recent studies showing that meter optimizes neural processing, particularly for sounds located at a higher metrical position or strong beat. Whereas enhanced cortical auditory processing at times of high metric strength has been studied, there is to date no direct evidence showing metrical modulation of subcortical processing. In this work, we examined the effect of meter on the subcortical encoding of sounds by measuring human auditory frequency-following responses to speech presented at four different metrical positions. Results show that neural encoding of the fundamental frequency of the vowel was enhanced at the strong beat, and also that the neural consistency of the vowel was the highest at the strong beat. When comparing musicians to non-musicians, musicians were found, at the strong beat, to selectively enhance the behaviorally relevant component of the speech sound, namely the formant frequency of the transient part. Our findings indicate that the meter of sound influences subcortical processing, and this metrical modulation differs depending on musical expertise. Nature Publishing Group UK 2020-09-29 /pmc/articles/PMC7525485/ /pubmed/32994430 http://dx.doi.org/10.1038/s41598-020-72714-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Moon, Il Joon Kang, Soojin Boichenko, Nelli Hong, Sung Hwa Lee, Kyung Myun Meter enhances the subcortical processing of speech sounds at a strong beat |
title | Meter enhances the subcortical processing of speech sounds at a strong beat |
title_full | Meter enhances the subcortical processing of speech sounds at a strong beat |
title_fullStr | Meter enhances the subcortical processing of speech sounds at a strong beat |
title_full_unstemmed | Meter enhances the subcortical processing of speech sounds at a strong beat |
title_short | Meter enhances the subcortical processing of speech sounds at a strong beat |
title_sort | meter enhances the subcortical processing of speech sounds at a strong beat |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525485/ https://www.ncbi.nlm.nih.gov/pubmed/32994430 http://dx.doi.org/10.1038/s41598-020-72714-z |
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