Using Rational Models to Interpret the Results of Experiments on Accent Adaptation

Exposure to unfamiliar non-native speech tends to improve comprehension. One hypothesis holds that listeners adapt to non-native-accented speech through distributional learning—by inferring the statistics of the talker's phonetic cues. Models based on this hypothesis provide a good fit to incre...

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Autores principales:	Maryann Tan, Xin Xie, T. Florian Jaeger
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	non-native speech L2 speech adaptation distributional learning ideal observer computational modeling Psychology BF1-990
Acceso en línea:	https://doaj.org/article/fb399429cc7c497f907af3d20bef8d35
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id	oai:doaj.org-article:fb399429cc7c497f907af3d20bef8d35
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spelling	oai:doaj.org-article:fb399429cc7c497f907af3d20bef8d352021-11-05T15:13:14ZUsing Rational Models to Interpret the Results of Experiments on Accent Adaptation1664-107810.3389/fpsyg.2021.676271https://doaj.org/article/fb399429cc7c497f907af3d20bef8d352021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyg.2021.676271/fullhttps://doaj.org/toc/1664-1078Exposure to unfamiliar non-native speech tends to improve comprehension. One hypothesis holds that listeners adapt to non-native-accented speech through distributional learning—by inferring the statistics of the talker's phonetic cues. Models based on this hypothesis provide a good fit to incremental changes after exposure to atypical native speech. These models have, however, not previously been applied to non-native accents, which typically differ from native speech in many dimensions. Motivated by a seeming failure to replicate a well-replicated finding from accent adaptation, we use ideal observers to test whether our results can be understood solely based on the statistics of the relevant cue distributions in the native- and non-native-accented speech. The simple computational model we use for this purpose can be used predictively by other researchers working on similar questions. All code and data are shared.Maryann TanMaryann TanXin XieXin XieT. Florian JaegerT. Florian JaegerFrontiers Media S.A.articlenon-native speechL2 speechadaptationdistributional learningideal observercomputational modelingPsychologyBF1-990ENFrontiers in Psychology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	non-native speech L2 speech adaptation distributional learning ideal observer computational modeling Psychology BF1-990
spellingShingle	non-native speech L2 speech adaptation distributional learning ideal observer computational modeling Psychology BF1-990 Maryann Tan Maryann Tan Xin Xie Xin Xie T. Florian Jaeger T. Florian Jaeger Using Rational Models to Interpret the Results of Experiments on Accent Adaptation
description	Exposure to unfamiliar non-native speech tends to improve comprehension. One hypothesis holds that listeners adapt to non-native-accented speech through distributional learning—by inferring the statistics of the talker's phonetic cues. Models based on this hypothesis provide a good fit to incremental changes after exposure to atypical native speech. These models have, however, not previously been applied to non-native accents, which typically differ from native speech in many dimensions. Motivated by a seeming failure to replicate a well-replicated finding from accent adaptation, we use ideal observers to test whether our results can be understood solely based on the statistics of the relevant cue distributions in the native- and non-native-accented speech. The simple computational model we use for this purpose can be used predictively by other researchers working on similar questions. All code and data are shared.
format	article
author	Maryann Tan Maryann Tan Xin Xie Xin Xie T. Florian Jaeger T. Florian Jaeger
author_facet	Maryann Tan Maryann Tan Xin Xie Xin Xie T. Florian Jaeger T. Florian Jaeger
author_sort	Maryann Tan
title	Using Rational Models to Interpret the Results of Experiments on Accent Adaptation
title_short	Using Rational Models to Interpret the Results of Experiments on Accent Adaptation
title_full	Using Rational Models to Interpret the Results of Experiments on Accent Adaptation
title_fullStr	Using Rational Models to Interpret the Results of Experiments on Accent Adaptation
title_full_unstemmed	Using Rational Models to Interpret the Results of Experiments on Accent Adaptation
title_sort	using rational models to interpret the results of experiments on accent adaptation
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/fb399429cc7c497f907af3d20bef8d35
work_keys_str_mv	AT maryanntan usingrationalmodelstointerprettheresultsofexperimentsonaccentadaptation AT maryanntan usingrationalmodelstointerprettheresultsofexperimentsonaccentadaptation AT xinxie usingrationalmodelstointerprettheresultsofexperimentsonaccentadaptation AT xinxie usingrationalmodelstointerprettheresultsofexperimentsonaccentadaptation AT tflorianjaeger usingrationalmodelstointerprettheresultsofexperimentsonaccentadaptation AT tflorianjaeger usingrationalmodelstointerprettheresultsofexperimentsonaccentadaptation
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Using Rational Models to Interpret the Results of Experiments on Accent Adaptation

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