ViASR: A Novel Benchmark Dataset and Methods for Vietnamese Automatic Speech Recognition

Binh Nguyen, Son Huynh, Quoc Khanh Tran, An Le Tran-Hoai, Trong An Nguyen, Nguyen Tung Doan Tran, Thuy An Phan Thi, Le Thanh Nguyen, Hieu Nghia Nguyen, Dang Huynh


Anthology ID:
2023.paclic-1.38
Volume:
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2023
Address:
Hong Kong, China
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
387–397
Language:
URL:
https://aclanthology.org/2023.paclic-1.38
DOI:
Bibkey:
Cite (ACL):
Binh Nguyen, Son Huynh, Quoc Khanh Tran, An Le Tran-Hoai, Trong An Nguyen, Nguyen Tung Doan Tran, Thuy An Phan Thi, Le Thanh Nguyen, Hieu Nghia Nguyen, and Dang Huynh. 2023. ViASR: A Novel Benchmark Dataset and Methods for Vietnamese Automatic Speech Recognition. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 387–397, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
ViASR: A Novel Benchmark Dataset and Methods for Vietnamese Automatic Speech Recognition (Nguyen et al., PACLIC 2023)
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PDF:
https://aclanthology.org/2023.paclic-1.38.pdf