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dc.contributor.authorChanethom, Vincent
dc.contributor.authorHenderson, Alice
dc.date.accessioned2024-01-03T09:40:19Z
dc.date.available2024-01-03T09:40:19Z
dc.date.issued2023-12-28
dc.identifier.issn1731-7533
dc.identifier.urihttp://hdl.handle.net/11089/49006
dc.description.abstractThis study is an extension of Inceoglu et al.’s (2023) study on Google Voice Typing as a pronunciation learning tool. We used the Automatic Speech Recognition (ASR) tool on the dictation.io website (Agarwal, 2022), and our participants were L2 English learners of a different L1, but similar proficiency level. Twelve L1 English listeners assessed the L2 English from four L1 French speakers in terms of intelligibility and comprehensibility, measured by word transcription and Likert scale ratings respectively. Their scores were compared to ASR output. The goal was to determine how accurate the tool is, and to what extent its accuracy correlates with human listeners. The results were generally consistent with those of Inceoglu et al. (2023), with few exceptions which we discuss in the current study.en
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesResearch in Language;3en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectEnglishen
dc.subjectAutomatic Speech Recognitionen
dc.subjectL2 learner speechen
dc.subjectreplicationen
dc.subjectintelligibilityen
dc.subjectcomprehensibilityen
dc.titleAlignment in ASR and L1 Listeners’ Recognition of L2 Learner Speech: French EFL Learners & Dictation.Ioen
dc.typeArticle
dc.page.number245-266
dc.contributor.authorAffiliationChanethom, Vincent - Princeton Universityen
dc.contributor.authorAffiliationHenderson, Alice - Université Grenoble Alpesen
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dc.contributor.authorEmailChanethom, Vincent - vc4@princeton.edu
dc.contributor.authorEmailHenderson, Alice - alice.henderson@univ-grenoble-alpes.fr
dc.identifier.doi10.18778/1731-7533.21.3.03
dc.relation.volume21


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