JOURNAL ARTICLE

Production of American English consonants /v/ and /w/ by Hindi speakers of English.

  • Published In: Journal of Second Language Pronunciation, 2025, v. 11, n. 2. P. 174 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Grover, Vikas; Shafer, Valerie L.; Campanelli, Luca; Whalen, D. H.; Kakadelis, Stephanie; Levy, Erika S. 3 of 3

Abstract

Previous research revealed that Hindi speakers identify American English (AE) phonemes /v/ and /w/ with only chance accuracy. Building on these findings, this study explored the production of AE /v/ and /w/ by Hindi speakers, utilizing both acoustic analysis of second formant (F2) onset and AE listeners' ratings. Participants included two groups of Hindi-English bilinguals, one residing in the US for more than 5 years, one residing in India, and a group of monolingual AE speakers. Results indicated significant differences in F2 onset between AE speakers and Hindi groups, with AE speakers differentiating the consonants more than the Hindi speakers did. The F2 onset of the Hindi speakers who had resided in the US differed from the F2 onsets produced by those with no AE immersion experience in certain conditions only. AE listeners rated only a few productions from Hindi speakers as accurate representations of AE /v/ and /w/. AE /v/-/w/ is difficult for Hindi speakers to produce contrastively, even for those who have resided in the US for several years. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Second Language Pronunciation. 2025/05, Vol. 11, Issue 2, p174
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:2215-1931
  • DOI:10.1075/jslp.24031.gro
  • Accession Number:188497922
  • Copyright Statement:Copyright of Journal of Second Language Pronunciation is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.