JOURNAL ARTICLE

Artificial intelligence integration in three iOS pronunciation apps: ELSA Speak, Loora, and Vocal Image.

  • Published In: Journal of Second Language Pronunciation, 2024, v. 10, n. 3. P. 404 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Kaiser, DJ 3 of 3

Abstract

Claims of integrating artificial intelligence (AI) into mobile applications for pronunciation training date back to at least 2011 with the iOS app T Accent (Arivoc Education International, 2011), which used automatic speech recognition (ASR) to provide "Goodness of Pronunciation" (GOP) ratings (Witt & Young, 2000). AI has advanced significantly since 2011, most noticeably with the 2022 release of OpenAI's ChatGPT, which made chatbots powered by generative AI more widely available. AI has led to new applications in pronunciation apps that can evaluate pronunciation and integrate communicative role-play activities. This article examines ASR and chatbot integration in three iOS apps: ELSA Speak, Loora, and Vocal Image. Feedback provided by these apps is frequently inaccurate and often limited to consonant and vowel sounds. This article cautions teachers and learners about the current limitations of these apps and provides recommendations for incorporating AI-powered tools into today's pronunciation classrooms. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Second Language Pronunciation. 2024/09, Vol. 10, Issue 3, p404
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2024
  • ISSN:2215-1931
  • DOI:10.1075/jslp.24052.kai
  • Accession Number:183911994
  • 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.)

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