Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition

Fu-An Chao, Jeih-weih Hung, Berlin Chen


Anthology ID:
2020.rocling-1.15
Volume:
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
Month:
September
Year:
2020
Address:
Taipei, Taiwan
Editors:
Jenq-Haur Wang, Ying-Hui Lai
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
120–135
Language:
URL:
https://aclanthology.org/2020.rocling-1.15
DOI:
Bibkey:
Cite (ACL):
Fu-An Chao, Jeih-weih Hung, and Berlin Chen. 2020. Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition. In Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020), pages 120–135, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition (Chao et al., ROCLING 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.rocling-1.15.pdf
Data
MUSAN