Monitoring student behavior in autonomous automatic speech recognition-based pronunciation practice

Solène Inceoglu, Wen Hsin Chen, Hyojung Lim

Research output: Contribution to journalArticlepeer-review

Abstract

A growing number of studies are investigating the role of Automatic Speech Recognition (ASR) technology in second language (L2) pronunciation learning, highlighting its potential to promote autonomous learning and enhance the development of L2 pronunciation. However, how learners interact with ASR systems remains largely unknown. The current study examined the behavior of 46 English-as-a-foreign language learners over six sessions of autonomous ASR-based pronunciation practice. It also explored potential relationship between learners' behavior and individual differences in motivation and pronunciation attitude. Analyses of the learners' screen recordings shed light on their interaction with the ASR output, including the proportion of words successfully transcribed on the first attempt and unsuccessful cases requiring subsequent attempts—whether repaired, ignored, or remaining unrepaired despite several attempts. Results from motivation and attitude questionnaires revealed that learners with a higher pronunciation attitude at the study's onset were more likely to reattempt a word not successfully transcribed by the ASR system. Motivation, however, was not found to be linked to learner behavior. The findings contribute to the expanding research on ASR technology in L2 pronunciation learning by emphasizing the influence of learner behaviors and attitudes, and providing important insights for L2 practitioners and researchers.

Original languageEnglish
Article number103387
JournalSystem
Volume124
DOIs
StatePublished - Aug 2024

Keywords

  • Automatic-speech-recognition
  • Autonomous learning
  • Motivation
  • Pronunciation attitude
  • Second language pronunciation

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