Literature DB >> 28924946

Listeners are maximally flexible in updating phonetic beliefs over time.

David Saltzman1, Emily Myers2.   

Abstract

Perceptual learning serves as a mechanism for listenexrs to adapt to novel phonetic information. Distributional tracking theories posit that this adaptation occurs as a result of listeners accumulating talker-specific distributional information about the phonetic category in question (Kleinschmidt & Jaeger, 2015, Psychological Review, 122). What is not known is how listeners build these talker-specific distributions; that is, if they aggregate all information received over a certain time period, or if they rely more heavily upon the most recent information received and down-weight older, consolidated information. In the present experiment, listeners were exposed to four interleaved blocks of a lexical decision task and a phonetic categorization task in which the lexical decision blocks were designed to bias perception in opposite directions along a "s"-"sh" continuum. Listeners returned several days later and completed the identical task again. Evidence was consistent with listeners using a relatively short temporal window of integration at the individual session level. Namely, in each individual session, listeners' perception of a "s"-"sh" contrast was biased by the information in the immediately preceding lexical decision block, and there was no evidence that listeners summed their experience with the talker over the entire session. Similarly, the magnitude of the bias effect did not change between sessions, consistent with the idea that talker-specific information remains flexible, even after consolidation. In general, results suggest that listeners are maximally flexible when considering how to categorize speech from a novel talker.

Entities:  

Keywords:  Speech perception; Spoken word recognition

Mesh:

Year:  2018        PMID: 28924946      PMCID: PMC5857400          DOI: 10.3758/s13423-017-1376-7

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  22 in total

1.  The perceptual consequences of within-talker variability in fricative production.

Authors:  R S Newman; S A Clouse; J L Burnham
Journal:  J Acoust Soc Am       Date:  2001-03       Impact factor: 1.840

2.  Consolidation during sleep of perceptual learning of spoken language.

Authors:  Kimberly M Fenn; Howard C Nusbaum; Daniel Margoliash
Journal:  Nature       Date:  2003-10-09       Impact factor: 49.962

3.  Perceptual learning in speech: stability over time.

Authors:  Frank Eisner; James M McQueen
Journal:  J Acoust Soc Am       Date:  2006-04       Impact factor: 1.840

4.  Perception of speech reflects optimal use of probabilistic speech cues.

Authors:  Meghan Clayards; Michael K Tanenhaus; Richard N Aslin; Robert A Jacobs
Journal:  Cognition       Date:  2008-06-25

5.  Words and voices: episodic traces in spoken word identification and recognition memory.

Authors:  S D Goldinger
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1996-09       Impact factor: 3.051

6.  Lexically guided perceptual tuning of internal phonetic category structure.

Authors:  Julia R Drouin; Rachel M Theodore; Emily B Myers
Journal:  J Acoust Soc Am       Date:  2016-10       Impact factor: 1.840

7.  Perceptual learning for speech: Is there a return to normal?

Authors:  Tanya Kraljic; Arthur G Samuel
Journal:  Cogn Psychol       Date:  2005-09       Impact factor: 3.468

8.  Neural Systems Underlying Perceptual Adjustment to Non-Standard Speech Tokens.

Authors:  Emily B Myers; Laura M Mesite
Journal:  J Mem Lang       Date:  2014-10-01       Impact factor: 3.059

9.  Sleep and native language interference affect non-native speech sound learning.

Authors:  F Sayako Earle; Emily B Myers
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-08-17       Impact factor: 3.332

10.  Statistical learning of phonetic categories: insights from a computational approach.

Authors:  Bob McMurray; Richard N Aslin; Joseph C Toscano
Journal:  Dev Sci       Date:  2009-04
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  2 in total

1.  Distributional learning for speech reflects cumulative exposure to a talker's phonetic distributions.

Authors:  Rachel M Theodore; Nicholas R Monto
Journal:  Psychon Bull Rev       Date:  2019-06

2.  Individual Differences in Lexical Contributions to Speech Perception.

Authors:  Nikole Giovannone; Rachel M Theodore
Journal:  J Speech Lang Hear Res       Date:  2021-02-19       Impact factor: 2.297

  2 in total

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