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Reconstructing Speech from Human Auditory Cortex
How the human auditory system extracts perceptually relevant acoustic features of speech is unknown. To address this question, we used intracranial recordings from nonprimary auditory cortex in the human superior temporal gyrus to determine what acoustic information in speech sounds can be reconstru...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3269422/ https://www.ncbi.nlm.nih.gov/pubmed/22303281 http://dx.doi.org/10.1371/journal.pbio.1001251 |
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author | Pasley, Brian N. David, Stephen V. Mesgarani, Nima Flinker, Adeen Shamma, Shihab A. Crone, Nathan E. Knight, Robert T. Chang, Edward F. |
author_facet | Pasley, Brian N. David, Stephen V. Mesgarani, Nima Flinker, Adeen Shamma, Shihab A. Crone, Nathan E. Knight, Robert T. Chang, Edward F. |
author_sort | Pasley, Brian N. |
collection | PubMed |
description | How the human auditory system extracts perceptually relevant acoustic features of speech is unknown. To address this question, we used intracranial recordings from nonprimary auditory cortex in the human superior temporal gyrus to determine what acoustic information in speech sounds can be reconstructed from population neural activity. We found that slow and intermediate temporal fluctuations, such as those corresponding to syllable rate, were accurately reconstructed using a linear model based on the auditory spectrogram. However, reconstruction of fast temporal fluctuations, such as syllable onsets and offsets, required a nonlinear sound representation based on temporal modulation energy. Reconstruction accuracy was highest within the range of spectro-temporal fluctuations that have been found to be critical for speech intelligibility. The decoded speech representations allowed readout and identification of individual words directly from brain activity during single trial sound presentations. These findings reveal neural encoding mechanisms of speech acoustic parameters in higher order human auditory cortex. |
format | Online Article Text |
id | pubmed-3269422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32694222012-02-02 Reconstructing Speech from Human Auditory Cortex Pasley, Brian N. David, Stephen V. Mesgarani, Nima Flinker, Adeen Shamma, Shihab A. Crone, Nathan E. Knight, Robert T. Chang, Edward F. PLoS Biol Research Article How the human auditory system extracts perceptually relevant acoustic features of speech is unknown. To address this question, we used intracranial recordings from nonprimary auditory cortex in the human superior temporal gyrus to determine what acoustic information in speech sounds can be reconstructed from population neural activity. We found that slow and intermediate temporal fluctuations, such as those corresponding to syllable rate, were accurately reconstructed using a linear model based on the auditory spectrogram. However, reconstruction of fast temporal fluctuations, such as syllable onsets and offsets, required a nonlinear sound representation based on temporal modulation energy. Reconstruction accuracy was highest within the range of spectro-temporal fluctuations that have been found to be critical for speech intelligibility. The decoded speech representations allowed readout and identification of individual words directly from brain activity during single trial sound presentations. These findings reveal neural encoding mechanisms of speech acoustic parameters in higher order human auditory cortex. Public Library of Science 2012-01-31 /pmc/articles/PMC3269422/ /pubmed/22303281 http://dx.doi.org/10.1371/journal.pbio.1001251 Text en Pasley et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Pasley, Brian N. David, Stephen V. Mesgarani, Nima Flinker, Adeen Shamma, Shihab A. Crone, Nathan E. Knight, Robert T. Chang, Edward F. Reconstructing Speech from Human Auditory Cortex |
title | Reconstructing Speech from Human Auditory Cortex |
title_full | Reconstructing Speech from Human Auditory Cortex |
title_fullStr | Reconstructing Speech from Human Auditory Cortex |
title_full_unstemmed | Reconstructing Speech from Human Auditory Cortex |
title_short | Reconstructing Speech from Human Auditory Cortex |
title_sort | reconstructing speech from human auditory cortex |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3269422/ https://www.ncbi.nlm.nih.gov/pubmed/22303281 http://dx.doi.org/10.1371/journal.pbio.1001251 |
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