Speech and multilingual natural language framework for speaker change detection and diarization

Anidjar, Or Haim; Estève, Yannick; Hajaj, Chen; Dvir, Amit; Lapidot, Itshak

doi:10.1016/j.eswa.2022.119238

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…The rapid development of information technologies and machine learning has promoted the popularity of speaking practice assisted with automatic speech recognition (ASR) technologies (Anidjar et al, 2023). However, speaking practice has not received enough attention, especially on the secondary level.…”

Section: Introductionmentioning

confidence: 99%

A Bibliometric Approach and Meta-Analysis of Effects of Automatic Speech Recognition on Second Language Learning

Lou,

Xu,

Liu

2024

International Journal of Web-Based Learning and Teaching Technologies

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Although automatic speech recognition technologies have gained popularity in second language learning, there are still difficulties facing the use of automatic speech recognition in second language learning. Through a bibliometric review and a meta-analysis, this study examines the effects of automatic speech recognition on second language learning. The results of this investigation show that automatic speech recognition technologies can improve second language speaking skills and reduce speaking anxiety, but whether the listening skills can be improved relies on the degree of advancement of the automatic speech recognition technologies. Teachers and students positively evaluate the use of automatic speech recognition technologies in second language learning. Bibliometric analyses reveal the top ten authors, organizations, countries, cited sources, and cited authors, as well as the chronological research trend in the research on the automatic speech recognition used in second language education.

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Section: Introductionmentioning

confidence: 99%