Leveraging Google Voice Typing Technology to Enhance Pronunciation Skills Among English Language Majors at Hung Vuong University

Abstract: Accurate pronunciation constitutes a pivotal component in enhancing communicative competence among learners of English as a foreign language. Nonetheless, a considerable number of students continue to encounter challenges due to suboptimal practice methods and the absence of immediate, constructive feedback. This study investigates the efficacy of Google Voice Typing—an automatic speech recognition (ASR) tool—in facilitating pronunciation improvement among English-major undergraduates. Employing a controlled experimental design, the research monitored participants’ pronunciation accuracy through pre- and post-intervention assessments conducted over a four-week training period. The findings reveal substantial improvement, particularly in the articulation of monophthongs, diphthongs, triphthongs, and complex consonant sounds. Despite its benefits, the tool demonstrates limitations, including difficulties in accurately recognizing non-native accents and its inability to provide feedback on prosodic features such as stress and intonation. Accordingly, the study advocates for the integration of ASR technology with informed pedagogical strategies to optimize pronunciation instruction.