Literature DB >> 26581947

What Comes After /f/? Prediction in Speech Derives From Data-Explanatory Processes.

Bob McMurray1, Allard Jongman2.   

Abstract

Acoustic cues are short-lived and highly variable, which makes speech perception a difficult problem. However, most listeners solve this problem effortlessly. In the present experiment, we demonstrated that part of the solution lies in predicting upcoming speech sounds and that predictions are modulated by high-level expectations about the current sound. Participants heard isolated fricatives (e.g., "s," "sh") and predicted the upcoming vowel. Accuracy was above chance, which suggests that fine-grained detail in the signal can be used for prediction. A second group performed the same task but also saw a still face and a letter corresponding to the fricative. This group performed markedly better, which suggests that high-level knowledge modulates prediction by helping listeners form expectations about what the fricative should have sounded like. This suggests a form of data explanation operating in speech perception: Listeners account for variance due to their knowledge of the talker and current phoneme, and they use what is left over to make more accurate predictions about the next sound.
© The Author(s) 2015.

Entities:  

Keywords:  anticipation; auditory processing; generative models; open data; predictive coding; social expectations; speech perception

Mesh:

Year:  2015        PMID: 26581947      PMCID: PMC4713269          DOI: 10.1177/0956797615609578

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  29 in total

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Journal:  J Acoust Soc Am       Date:  1981-10       Impact factor: 1.840

9.  Human voice recognition depends on language ability.

Authors:  Tyler K Perrachione; Stephanie N Del Tufo; John D E Gabrieli
Journal:  Science       Date:  2011-07-29       Impact factor: 47.728

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Authors:  Anne Pier Salverda; Dave Kleinschmidt; Michael K Tanenhaus
Journal:  J Mem Lang       Date:  2014-02-01       Impact factor: 3.059

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  5 in total

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2.  Symbolic flexibility during unsupervised word learning in children and adults.

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Journal:  Lang Cogn Neurosci       Date:  2015-10-19       Impact factor: 2.331

5.  Gradient activation of speech categories facilitates listeners' recovery from lexical garden paths, but not perception of speech-in-noise.

Authors:  Efthymia C Kapnoula; Jan Edwards; Bob McMurray
Journal:  J Exp Psychol Hum Percept Perform       Date:  2021-04       Impact factor: 3.077

  5 in total

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