‘Look, I can speak correctly’: learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology-Reference-Cited by-同舟云学术

‘Look, I can speak correctly’: learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology

Published:2022-05-26 Issue: Volume: Page:1-29
ISSN:0958-8221
Container-title:Computer Assisted Language Learning
language:en
Short-container-title:Computer Assisted Language Learning

Author:

Bashori Muzakki¹²^ORCID,van Hout Roeland¹,Strik Helmer¹³⁴⁵,Cucchiarini Catia³

Affiliation:

1. Centre for Language Studies, Radboud University Nijmegen, Nijmegen, The Netherlands

2. Faculty of Social Sciences, Semarang State University, Semarang, Indonesia

3. Centre for Language and Speech Technology (CLST), Radboud University Nijmegen, Nijmegen, The Netherlands

4. Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands

5. NovoLearning BV, Nijmegen, The Netherlands

Publisher

Informa UK Limited

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics

Link

https://www.tandfonline.com/doi/pdf/10.1080/09588221.2022.2080230

Reference74 articles.

1. Andy, Muzammil, L. & Muhaji, U. (2020). Intelligibility and Automatic Speech Recognition (ASR) in Indonesian Accented English (IAE) [PowerPoint Slides]. The 4th International Conference on Language, Literature, Culture, and Education, Fakultas Pendidikan Bahasa Dan Sastra Universitas Pendidikan Indonesia (FPBS UPI). http://icollite.event.upi.edu/file/ppt/PPT_ICOLLITE-Andy,_Lasim,_Uun.pdf

2. The Need for Maintaining CLT in Indonesia

3. An automated tool for comparing phonetic transcriptions

4. Web-based language learning and speaking anxiety

5. Effects of ASR-based websites on EFL learners’ vocabulary, speaking anxiety, and language enjoyment

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