Publication

An evidence accumulation model of acoustic cue weighting in vowel perception

Tillman, G., Benders, T., Brown, S. D. & van Ravenzwaaij, D., Mar-2017, In : Journal of Phonetics. 61, p. 1-12 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Tillman, G., Benders, T., Brown, S. D., & van Ravenzwaaij, D. (2017). An evidence accumulation model of acoustic cue weighting in vowel perception. Journal of Phonetics, 61, 1-12. https://doi.org/10.1016/j.wocn.2016.12.001

Author

Tillman, Gabriel ; Benders, Titia ; Brown, Scott D. ; van Ravenzwaaij, Don. / An evidence accumulation model of acoustic cue weighting in vowel perception. In: Journal of Phonetics. 2017 ; Vol. 61. pp. 1-12.

Harvard

Tillman, G, Benders, T, Brown, SD & van Ravenzwaaij, D 2017, 'An evidence accumulation model of acoustic cue weighting in vowel perception', Journal of Phonetics, vol. 61, pp. 1-12. https://doi.org/10.1016/j.wocn.2016.12.001

Standard

An evidence accumulation model of acoustic cue weighting in vowel perception. / Tillman, Gabriel; Benders, Titia; Brown, Scott D.; van Ravenzwaaij, Don.

In: Journal of Phonetics, Vol. 61, 03.2017, p. 1-12.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Tillman G, Benders T, Brown SD, van Ravenzwaaij D. An evidence accumulation model of acoustic cue weighting in vowel perception. Journal of Phonetics. 2017 Mar;61:1-12. https://doi.org/10.1016/j.wocn.2016.12.001


BibTeX

@article{0bd4cff1f83945d182ea2d4a74c62c21,
title = "An evidence accumulation model of acoustic cue weighting in vowel perception",
abstract = "Listeners rely on multiple acoustic cues to recognize any phoneme. The relative contribution of these cues to listeners' perception is typically inferred from listeners' categorization of sounds in a two-alternative forced-choice task. Here we advocate the use of an evidence accumulation model to analyze categorization as well as response time data from such cue weighting paradigms in terms of the processes that underlie the listeners' categorization. We tested 30 Dutch listeners on their categorization of speech sounds that varied between typical /a/ and /a/ in vowel quality (F1 and F2) and duration. Using the linear ballistic accumulator model, we found that the changes in spectral quality and duration lead to changes in the speed of information processing, and the effects were larger for spectral quality. In addition, for stimuli with atypical spectral information, listeners accumulate evidence faster for /a/ compared to /ad. Finally, longer durations of sounds did not produce longer estimates of perceptual encoding time. Our results demonstrate the utility of evidence accumulation models for learning about the latent processes that underlie phoneme categorization. The implications for current theory in speech perception as well as future directions for evidence accumulation models are discussed. (C) 2016 Elsevier Ltd. All rights reserved.",
keywords = "Phoneme categorization, Linear ballistic accumulator, Response time, LEXICAL-DECISION TASK, SPEED-ACCURACY TRADEOFF, LANGUAGE EXPERIENCE, PHONETIC CATEGORIES, BAYES FACTORS, REACTION-TIME, CHOICE, CONTEXT, IDENTIFICATION, ENGLISH",
author = "Gabriel Tillman and Titia Benders and Brown, {Scott D.} and {van Ravenzwaaij}, Don",
year = "2017",
month = "3",
doi = "10.1016/j.wocn.2016.12.001",
language = "English",
volume = "61",
pages = "1--12",
journal = "Journal of Phonetics",
issn = "0095-4470",
publisher = "ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD",

}

RIS

TY - JOUR

T1 - An evidence accumulation model of acoustic cue weighting in vowel perception

AU - Tillman, Gabriel

AU - Benders, Titia

AU - Brown, Scott D.

AU - van Ravenzwaaij, Don

PY - 2017/3

Y1 - 2017/3

N2 - Listeners rely on multiple acoustic cues to recognize any phoneme. The relative contribution of these cues to listeners' perception is typically inferred from listeners' categorization of sounds in a two-alternative forced-choice task. Here we advocate the use of an evidence accumulation model to analyze categorization as well as response time data from such cue weighting paradigms in terms of the processes that underlie the listeners' categorization. We tested 30 Dutch listeners on their categorization of speech sounds that varied between typical /a/ and /a/ in vowel quality (F1 and F2) and duration. Using the linear ballistic accumulator model, we found that the changes in spectral quality and duration lead to changes in the speed of information processing, and the effects were larger for spectral quality. In addition, for stimuli with atypical spectral information, listeners accumulate evidence faster for /a/ compared to /ad. Finally, longer durations of sounds did not produce longer estimates of perceptual encoding time. Our results demonstrate the utility of evidence accumulation models for learning about the latent processes that underlie phoneme categorization. The implications for current theory in speech perception as well as future directions for evidence accumulation models are discussed. (C) 2016 Elsevier Ltd. All rights reserved.

AB - Listeners rely on multiple acoustic cues to recognize any phoneme. The relative contribution of these cues to listeners' perception is typically inferred from listeners' categorization of sounds in a two-alternative forced-choice task. Here we advocate the use of an evidence accumulation model to analyze categorization as well as response time data from such cue weighting paradigms in terms of the processes that underlie the listeners' categorization. We tested 30 Dutch listeners on their categorization of speech sounds that varied between typical /a/ and /a/ in vowel quality (F1 and F2) and duration. Using the linear ballistic accumulator model, we found that the changes in spectral quality and duration lead to changes in the speed of information processing, and the effects were larger for spectral quality. In addition, for stimuli with atypical spectral information, listeners accumulate evidence faster for /a/ compared to /ad. Finally, longer durations of sounds did not produce longer estimates of perceptual encoding time. Our results demonstrate the utility of evidence accumulation models for learning about the latent processes that underlie phoneme categorization. The implications for current theory in speech perception as well as future directions for evidence accumulation models are discussed. (C) 2016 Elsevier Ltd. All rights reserved.

KW - Phoneme categorization

KW - Linear ballistic accumulator

KW - Response time

KW - LEXICAL-DECISION TASK

KW - SPEED-ACCURACY TRADEOFF

KW - LANGUAGE EXPERIENCE

KW - PHONETIC CATEGORIES

KW - BAYES FACTORS

KW - REACTION-TIME

KW - CHOICE

KW - CONTEXT

KW - IDENTIFICATION

KW - ENGLISH

U2 - 10.1016/j.wocn.2016.12.001

DO - 10.1016/j.wocn.2016.12.001

M3 - Article

VL - 61

SP - 1

EP - 12

JO - Journal of Phonetics

JF - Journal of Phonetics

SN - 0095-4470

ER -

ID: 37590645