Dnn-based approach to detect and classify pathological voice ZY Chuang, XT Yu, JY Chen, YT Hsu, ZZ Xu, CT Wang, FC Lin, SH Fang 2018 IEEE international conference on big data (big data), 5238-5241, 2018 | 18 | 2018 |
IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network. YC Lin, YT Hsu, SW Fu, Y Tsao, TW Kuo Interspeech, 1801-1805, 2019 | 15 | 2019 |
Detecting dementia in mandarin Chinese using transfer learning from a parallel corpus B Li, YT Hsu, F Rudzicz NAACL, 2019 | 15 | 2019 |
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN) YT Hsu, YC Lin, SW Fu, Y Tsao, TW Kuo 2018 IEEE Spoken Language Technology Workshop (SLT), 566-573, 2018 | 13 | 2018 |
Efficient inference for neural machine translation YT Hsu, S Garg, YH Liao, I Chatsviorkin SustaiNLP: Simple and Efficient Natural Language Processing, EMNLP 2020, 2020 | 11 | 2020 |
Robustness against the channel effect in pathological voice detection YT Hsu, Z Zhu, CT Wang, SH Fang, F Rudzicz, Y Tsao Machine Learning for Health Workshop at NeurIPS, 2018, 2018 | 9 | 2018 |
Seofp-net: Compression and acceleration of deep neural networks for speech enhancement using sign-exponent-only floating-points YC Lin, C Yu, YT Hsu, SW Fu, Y Tsao, TW Kuo IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1016-1031, 2021 | 5 | 2021 |
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding S Shon, K Kim, YT Hsu, P Sridhar, S Watanabe, K Livescu arXiv preprint arXiv:2406.09345, 2024 | | 2024 |
Generative Context-Aware Fine-Tuning of Self-Supervised Speech Models S Shon, K Kim, P Sridhar, YT Hsu, S Watanabe, K Livescu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |