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Yi-Te Hsu
Yi-Te Hsu
ASAPP
在 jhu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
182018
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
152019
Detecting dementia in mandarin Chinese using transfer learning from a parallel corpus
B Li, YT Hsu, F Rudzicz
NAACL, 2019
152019
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
132018
Efficient inference for neural machine translation
YT Hsu, S Garg, YH Liao, I Chatsviorkin
SustaiNLP: Simple and Efficient Natural Language Processing, EMNLP 2020, 2020
112020
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
92018
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
52021
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
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