When a bilingual switches languages, do they switch their voice? Using a conversational corpus of speech from early Cantonese-English bilinguals (n = 34), this paper examines the talker-specific acoustic signatures of bilingual voices. Following the psychoacoustic model of voice, 24 filter and source-based acoustic measurements are estimated. The analysis summarizes mean differences for these dimensions and identifies the underlying structure of each talker's voice across languages with principal component analyses. Canonical redundancy analyses demonstrate that while talkers vary in the degree to which they have the same voice across languages, all talkers show strong similarity with themselves, suggesting an individual's voice remains relatively constant across languages. Voice variability is sensitive to sample size, and we establish the required sample to settle on a consistent impression of one's voice. These results have implications for human and machine voice recognition for bilinguals and monolinguals and speak to the substance of voice prototypes.
Skip Nav Destination
Article navigation
June 2023
June 07 2023
The structure of acoustic voice variation in bilingual speech
Khia A. Johnson;
Khia A. Johnson
Department of Linguistics, University of British Columbia
, Vancouver, British Columbia, Canada
Search for other works by this author on:
Molly Babel
Molly Babel
a)
Department of Linguistics, University of British Columbia
, Vancouver, British Columbia, Canada
Search for other works by this author on:
a)
Electronic mail: molly.babel@ubc.ca
J. Acoust. Soc. Am. 153, 3221 (2023)
Article history
Received:
December 02 2022
Accepted:
May 23 2023
Citation
Khia A. Johnson, Molly Babel; The structure of acoustic voice variation in bilingual speech. J. Acoust. Soc. Am. 1 June 2023; 153 (6): 3221–. https://doi.org/10.1121/10.0019659
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Sign in via your Institution
Sign in via your InstitutionPay-Per-View Access
$40.00
201
Views