Publications

Suwon Shon, Kwangyoun Kim, Prashant Sridhar, Yi-Te Hsu, Shinji Watanabe, Karen Livescu (2024). Generative Context-Aware Fine-Tuning of Self-Supervised Speech Models. ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Suwon Shon, Kwangyoun Kim, Yi-Te Hsu, Prashant Sridhar, Shinji Watanabe, Karen Livescu (2024). DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding. INTERSPEECH 2024.

Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo (2021). Seofp-net: Compression and acceleration of deep neural networks for speech enhancement using sign-exponent-only floating-points. IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, Ilya Chatsviorkin (2020). Efficient inference for neural machine translation. SustaiNLP: Simple and Efficient Natural Language Processing, EMNLP 2020.

Yu-Chen Lin, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo (2019). IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network.. Interspeech.

Bai Li, Yi-Te Hsu, Frank Rudzicz (2019). Detecting dementia in mandarin Chinese using transfer learning from a parallel corpus. NAACL.

Yi-Te Hsu, Zining Zhu, Chi-Te Wang, Shih-Hau Fang, Frank Rudzicz, Yu Tsao (2018). Robustness against the channel effect in pathological voice detection. Machine Learning for Health Workshop at NeurIPS, 2018.

Zong-Ying Chuang, Xiao-Tong Yu, Ji-Ying Chen, Yi-Te Hsu, Zhe-Zhuang Xu, Chi-Te Wang, Feng-Chuan Lin, Shih-Hau Fang (2018). Dnn-based approach to detect and classify pathological voice. 2018 IEEE international conference on big data (big data).

Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo (2018). A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN). 2018 IEEE Spoken Language Technology Workshop (SLT).