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Toward “English” Phonetics: Variability in the Pre-consonantal Voicing Effect Across English Dialects and Speakers

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13 Scopus citations

Abstract

Recent advances in access to spoken-language corpora and development of speech processing tools have made possible the performance of “large-scale” phonetic and sociolinguistic research. This study illustrates the usefulness of such a large-scale approach—using data from multiple corpora across a range of English dialects, collected, and analyzed with the SPADE project—to examine how the pre-consonantal Voicing Effect (longer vowels before voiced than voiceless obstruents, in e.g., bead vs. beat) is realized in spontaneous speech, and varies across dialects and individual speakers. Compared with previous reports of controlled laboratory speech, the Voicing Effect was found to be substantially smaller in spontaneous speech, but still influenced by the expected range of phonetic factors. Dialects of English differed substantially from each other in the size of the Voicing Effect, whilst individual speakers varied little relative to their particular dialect. This study demonstrates the value of large-scale phonetic research as a means of developing our understanding of the structure of speech variability, and illustrates how large-scale studies, such as those carried out within SPADE, can be applied to other questions in phonetic and sociolinguistic research.

Original languageEnglish
Article number38
JournalFrontiers in Artificial Intelligence
Volume3
DOIs
StatePublished - May 29 2020

Bibliographical note

Publisher Copyright:
© Copyright © 2020 Tanner, Sonderegger, Stuart-Smith and Fruehwald.

Funding

The research reported here is part of SPeech Across Dialects of English (SPADE): Large-scale digital analysis of a spoken language across space and time (2017–2020); ESRC Grant ES/R003963/1, NSERC/CRSNG Grant RGPDD 501771-16, SSHRC/CRSH Grant 869-2016-0006, NSF Grant SMA-1730479 (Digging into Data/Trans-Atlantic Platform), and was also supported by SSHRC #435-2017-0925 awarded to MS and a Fonds de Recherche du Québec Société et Culture International Internship award granted to JT.

FundersFunder number
Fonds de Recherche du Québec-Société et Culture
Social Sciences and Humanities Research Council of Canada
Natural Sciences and Engineering Research Council of Canada
Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaRGPDD 501771-16
Economic and Social Research CouncilES/R003963/1
CRSH869-2016-0006
National Science Foundation Arctic Social Science Program435-2017-0925, SMA-1730479

    Keywords

    • Bayesian modeling
    • English
    • dialectal variation
    • phonetic variability
    • speaker variability
    • voicing effect

    ASJC Scopus subject areas

    • Artificial Intelligence

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