Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise

Understanding speech in noisy environments is often taken for granted; however, this task is particularly challenging for people with cochlear hearing loss, even with hearing aids or cochlear implants. A significant limitation to improving auditory prostheses is our lack of understanding of the neur...

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Main Authors: Swaminathan, Jayaganesh, Heinz, Michael G.
Other Authors: Massachusetts Institute of Technology. Research Laboratory of Electronics
Format: Article
Language:en_US
Published: Society for Neuroscience 2012
Online Access:http://hdl.handle.net/1721.1/73086
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author Swaminathan, Jayaganesh
Heinz, Michael G.
author2 Massachusetts Institute of Technology. Research Laboratory of Electronics
author_facet Massachusetts Institute of Technology. Research Laboratory of Electronics
Swaminathan, Jayaganesh
Heinz, Michael G.
author_sort Swaminathan, Jayaganesh
collection MIT
description Understanding speech in noisy environments is often taken for granted; however, this task is particularly challenging for people with cochlear hearing loss, even with hearing aids or cochlear implants. A significant limitation to improving auditory prostheses is our lack of understanding of the neural basis for robust speech perception in noise. Perceptual studies suggest the slowly varying component of the acoustic waveform (envelope, ENV) is sufficient for understanding speech in quiet, but the rapidly varying temporal fine structure (TFS) is important in noise. These perceptual findings have important implications for cochlear implants, which currently only provide ENV; however, neural correlates have been difficult to evaluate due to cochlear transformations between acoustic TFS and recovered neural ENV. Here, we demonstrate the relative contributions of neural ENV and TFS by quantitatively linking neural coding, predicted from a computational auditory nerve model, with perception of vocoded speech in noise measured from normal hearing human listeners. Regression models with ENV and TFS coding as independent variables predicted speech identification and phonetic feature reception at both positive and negative signal-to-noise ratios. We found that: (1) neural ENV coding was a primary contributor to speech perception, even in noise; and (2) neural TFS contributed in noise mainly in the presence of neural ENV, but rarely as the primary cue itself. These results suggest that neural TFS has less perceptual salience than previously thought due to cochlear signal processing transformations between TFS and ENV. Because these transformations differ between normal and impaired ears, these findings have important translational implications for auditory prostheses.
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spelling mit-1721.1/730862022-09-29T13:10:52Z Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise Swaminathan, Jayaganesh Heinz, Michael G. Massachusetts Institute of Technology. Research Laboratory of Electronics Swaminathan, Jayaganesh Understanding speech in noisy environments is often taken for granted; however, this task is particularly challenging for people with cochlear hearing loss, even with hearing aids or cochlear implants. A significant limitation to improving auditory prostheses is our lack of understanding of the neural basis for robust speech perception in noise. Perceptual studies suggest the slowly varying component of the acoustic waveform (envelope, ENV) is sufficient for understanding speech in quiet, but the rapidly varying temporal fine structure (TFS) is important in noise. These perceptual findings have important implications for cochlear implants, which currently only provide ENV; however, neural correlates have been difficult to evaluate due to cochlear transformations between acoustic TFS and recovered neural ENV. Here, we demonstrate the relative contributions of neural ENV and TFS by quantitatively linking neural coding, predicted from a computational auditory nerve model, with perception of vocoded speech in noise measured from normal hearing human listeners. Regression models with ENV and TFS coding as independent variables predicted speech identification and phonetic feature reception at both positive and negative signal-to-noise ratios. We found that: (1) neural ENV coding was a primary contributor to speech perception, even in noise; and (2) neural TFS contributed in noise mainly in the presence of neural ENV, but rarely as the primary cue itself. These results suggest that neural TFS has less perceptual salience than previously thought due to cochlear signal processing transformations between TFS and ENV. Because these transformations differ between normal and impaired ears, these findings have important translational implications for auditory prostheses. 2012-09-20T19:25:12Z 2012-09-20T19:25:12Z 2012-02 2011-11 Article http://purl.org/eprint/type/JournalArticle 0270-6474 1529-2401 http://hdl.handle.net/1721.1/73086 Swaminathan, J., and M. G. Heinz. “Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise.” Journal of Neuroscience 32.5 (2012): 1747–1756. en_US http://dx.doi.org/10.1523/jneurosci.4493-11.2012 Journal of Neuroscience Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Society for Neuroscience SFN
spellingShingle Swaminathan, Jayaganesh
Heinz, Michael G.
Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise
title Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise
title_full Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise
title_fullStr Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise
title_full_unstemmed Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise
title_short Psychophysiological Analyses Demonstrate the Importance of Neural Envelope Coding for Speech Perception in Noise
title_sort psychophysiological analyses demonstrate the importance of neural envelope coding for speech perception in noise
url http://hdl.handle.net/1721.1/73086
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