Yi-Te Hsu

According to our database, Yi-Te Hsu authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding.

Suwon Shon, Kwangyoun Kim, Yi-Te Hsu, Prashant Sridhar, Shinji Watanabe, Karen Livescu

CoRR, 2024

Generative Context-Aware Fine-Tuning of Self-Supervised Speech Models.

Suwon Shon, Kwangyoun Kim, Prashant Sridhar, Yi-Te Hsu, Shinji Watanabe, Karen Livescu

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points.

Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo

IEEE ACM Trans. Audio Speech Lang. Process., 2022

2020

Efficient Inference For Neural Machine Translation.

Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, Ilya Chatsviorkin

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

2019

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus.

Bai Li, Yi-Te Hsu, Frank Rudzicz

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network.

Yu-Chen Lin, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Robustness against the channel effect in pathological voice detection.

Yi-Te Hsu, Zining Zhu, Chi-Te Wang, Shih-Hau Fang, Frank Rudzicz, Yu Tsao

CoRR, 2018

A Study on Speech Enhancement Using Exponent-Only Floating Point Quantized Neural Network (EOFP-QNN).

Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

DNN-based Approach to Detect and Classify Pathological Voice.

Zong-Ying Chuang, Xiao-Tong Yu, Ji-Ying Chen, Yi-Te Hsu, Zhezhuang Xu, Chi-Te Wang, Feng-Chuan Lin, Shih-Hau Fang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018