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Sung-Lin Yeh
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2020 – today
- 2024
- [c10]Alexander H. Liu, Sung-Lin Yeh, James R. Glass:
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective. ICASSP 2024: 12051-12055 - [i8]Alexander H. Liu, Sung-Lin Yeh, James R. Glass:
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective. CoRR abs/2401.08833 (2024) - [i7]Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève:
Open-Source Conversational AI with SpeechBrain 1.0. CoRR abs/2407.00463 (2024) - [i6]Sung-Lin Yeh, Hao Tang:
Estimating the Completeness of Discrete Speech Units. CoRR abs/2409.06109 (2024) - 2023
- [c9]Sung-Lin Yeh, Hao Tang:
Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models. ICASSP 2023: 1-5 - [c8]Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang:
Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution. ICASSP 2023: 1-5 - 2022
- [j1]Gene-Ping Yang
, Sung-Lin Yeh, Yu-An Chung
Autoregressive Predictive Coding: A Comprehensive Study. IEEE J. Sel. Top. Signal Process. 16(6): 1380-1390 (2022) - [c7]Sung-Lin Yeh, Hao Tang:
Autoregressive Co-Training for Learning Discrete Speech Representation. INTERSPEECH 2022: 5000-5004 - [i5]Sung-Lin Yeh, Hao Tang:
Autoregressive Co-Training for Learning Discrete Speech Representations. CoRR abs/2203.15840 (2022) - [i4]Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang:
Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution. CoRR abs/2210.15793 (2022) - [i3]Sung-Lin Yeh, Hao Tang:
Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models. CoRR abs/2210.16659 (2022) - 2021
- [i2]Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio:
SpeechBrain: A General-Purpose Speech Toolkit. CoRR abs/2106.04624 (2021) - 2020
- [c6]Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng:
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. AAAI 2020: 8910-8917 - [c5]Sung-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee
A Dialogical Emotion Decoder for Speech Motion Recognition in Spoken Dialog. ICASSP 2020: 6479-6483 - [c4]Sung-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee
Speech Representation Learning for Emotion Recognition Using End-to-End ASR with Factorized Adaptation. INTERSPEECH 2020: 536-540 - [i1]Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. CoRR abs/2002.02095 (2020)
2010 – 2019
- 2019
- [c3]Sung-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee
An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs. ICASSP 2019: 6685-6689 - [c2]Sung-Lin Yeh, Gao-Yi Chao, Bo-Hao Su, Yu-Lin Huang, Meng-Han Lin, Yin-Chun Tsai, Yu-Wen Tai, Zheng-Chi Lu, Chieh-Yu Chen, Tsung-Ming Tai, Chiu-Wang Tseng, Cheng-Kuang Lee, Chi-Chun Lee
Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition. INTERSPEECH 2019: 2398-2402 - 2018
- [c1]Bo-Hao Su, Sung-Lin Yeh, Ming-Ya Ko, Huan-Yu Chen, Shun-Chang Zhong, Jeng-Lin Li, Chi-Chun Lee
Self-Assessed Affect Recognition Using Fusion of Attentional BLSTM and Static Acoustic Features. INTERSPEECH 2018: 536-540
Coauthor Index
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last updated on 2024-10-14 23:32 CEST by the dblp team
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