Perceptual learning in speech reveals pathways of processing

Listeners use perceptual learning to rapidly adapt to manipulated speech input. Examination of this learning process can reveal the pathways used during speech perception. By assessing generalization of perceptually learned categorization boundaries, others have used perceptual learning to help dete...

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Main Author: Munson, Cheyenne Michele
Other Authors: McMurray, Bob
Format: Others
Language:English
Published: University of Iowa 2011
Subjects:
Online Access:https://ir.uiowa.edu/etd/2747
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=2727&context=etd
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spelling ndltd-uiowa.edu-oai-ir.uiowa.edu-etd-27272019-10-13T04:44:01Z Perceptual learning in speech reveals pathways of processing Munson, Cheyenne Michele Listeners use perceptual learning to rapidly adapt to manipulated speech input. Examination of this learning process can reveal the pathways used during speech perception. By assessing generalization of perceptually learned categorization boundaries, others have used perceptual learning to help determine whether abstract units are necessary for listeners and models of speech perception. Here we extend this approach to address the inverse issue of specificity. In these experiments we have sought to discover the levels of specificity for which listeners can learn variation in phonetic contrasts. We find that (1) listeners are able to learn multiple voicing boundaries for different pairs of phonemic contrasts relying on the same feature contrast. (2) Listeners generalize voicing boundaries to untrained continua with the same onset as the trained continua, but generalization to continua with different onsets depends on previous experience with other continua sharing this different onset. (3) Listeners can learn different voicing boundaries for continua with the same CV onset, which suggests that boundaries are lexically-specific. (4) Listeners can learn different voicing boundaries for multiple talkers even when they are not given instructions about talkers and their task does not require talker identification. (5) Listeners retain talker-specific boundaries after training on a new boundary for a second talker, but generalize boundaries across talkers when they have no previous experience with a talker. These results were obtained using a new paradigm for unsupervised perceptual learning in speech. They suggest that models of speech perception must be highly flexible in order to accommodate both specificity and generalization of perceptually learned categorization boundaries. 2011-12-01T08:00:00Z dissertation application/pdf https://ir.uiowa.edu/etd/2747 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=2727&context=etd Copyright 2011 Cheyenne Michele Munson Theses and Dissertations eng University of IowaMcMurray, Bob Adjustment Distributional learning Perceptual learning Speech perception Unsupervised learning Variability Psychology
collection NDLTD
language English
format Others
sources NDLTD
topic Adjustment
Distributional learning
Perceptual learning
Speech perception
Unsupervised learning
Variability
Psychology
spellingShingle Adjustment
Distributional learning
Perceptual learning
Speech perception
Unsupervised learning
Variability
Psychology
Munson, Cheyenne Michele
Perceptual learning in speech reveals pathways of processing
description Listeners use perceptual learning to rapidly adapt to manipulated speech input. Examination of this learning process can reveal the pathways used during speech perception. By assessing generalization of perceptually learned categorization boundaries, others have used perceptual learning to help determine whether abstract units are necessary for listeners and models of speech perception. Here we extend this approach to address the inverse issue of specificity. In these experiments we have sought to discover the levels of specificity for which listeners can learn variation in phonetic contrasts. We find that (1) listeners are able to learn multiple voicing boundaries for different pairs of phonemic contrasts relying on the same feature contrast. (2) Listeners generalize voicing boundaries to untrained continua with the same onset as the trained continua, but generalization to continua with different onsets depends on previous experience with other continua sharing this different onset. (3) Listeners can learn different voicing boundaries for continua with the same CV onset, which suggests that boundaries are lexically-specific. (4) Listeners can learn different voicing boundaries for multiple talkers even when they are not given instructions about talkers and their task does not require talker identification. (5) Listeners retain talker-specific boundaries after training on a new boundary for a second talker, but generalize boundaries across talkers when they have no previous experience with a talker. These results were obtained using a new paradigm for unsupervised perceptual learning in speech. They suggest that models of speech perception must be highly flexible in order to accommodate both specificity and generalization of perceptually learned categorization boundaries.
author2 McMurray, Bob
author_facet McMurray, Bob
Munson, Cheyenne Michele
author Munson, Cheyenne Michele
author_sort Munson, Cheyenne Michele
title Perceptual learning in speech reveals pathways of processing
title_short Perceptual learning in speech reveals pathways of processing
title_full Perceptual learning in speech reveals pathways of processing
title_fullStr Perceptual learning in speech reveals pathways of processing
title_full_unstemmed Perceptual learning in speech reveals pathways of processing
title_sort perceptual learning in speech reveals pathways of processing
publisher University of Iowa
publishDate 2011
url https://ir.uiowa.edu/etd/2747
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=2727&context=etd
work_keys_str_mv AT munsoncheyennemichele perceptuallearninginspeechrevealspathwaysofprocessing
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