Automatic speech recognition (ASR) for the diagnosis of pronunciation of speech sound disorders in Korean children-Reference-Cited by-同舟云学术

Automatic speech recognition (ASR) for the diagnosis of pronunciation of speech sound disorders in Korean children

Published:2024-08-20 Issue: Volume: Page:1-14
ISSN:0269-9206
Container-title:Clinical Linguistics & Phonetics
language:en
Short-container-title:Clinical Linguistics & Phonetics

Author:

Ahn Taekyung¹²^ORCID,Hong Yeonjung²^ORCID,Im Younggon²^ORCID,Kim Do Hyung³^ORCID,Kang Dayoung³^ORCID,Jeong Joo Won³^ORCID,Kim Jae Won³^ORCID,Kim Min Jung⁴^ORCID,Cho Ah-Ra⁵^ORCID,Nam Hosung¹^ORCID,Jang Dae-Hyun³^ORCID

Affiliation:

1. Department of English Language and Literature, Korea University, Seoul, Republic of Korea

2. AI R&D Group, MediaZen, Seongnam-si, Republic of Korea

3. Department of Rehabilitation Medicine, Incheon St.Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

4. Department of Special Education, Dankook University, Youngin-si, Republic of Korea

5. Department of Rehabilitation Medicine, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02699206.2024.2387609

Reference30 articles.

1. Abate, S. T., Tachbelie, M. Y., & Schultz, T. (2021, June). End-to-end multilingual automatic speech recognition for less-resourced languages: The case of four ethiopian languages. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7013–7017). IEEE.

2. Ahn T. Hong Y. Im Y. Kim D. H. Kang D. Jeong J. W. Kim J. W. Kim M. J. Cho A. Jang D. H. & Nam H. (2024). Automatic speech recognition (ASR) for the diagnosis of pronunciation of speech sound disorders in Korean children. arXiv preprint arXiv:2403.08187.

3. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

4. Bahdanau, D., Chorowski, J., Serdyuk, D., Brakel, P., & Bengio, Y. (2016). End-to-end attention-based large vocabulary speech recognition. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4945–4949). IEEE.