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2020 – today
- 2024
[j3]Xinhao Mei
, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley, Yuexian Zou, Wenwu Wang:
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3339-3354 (2024)- [c50]Zhichao Huang, Chutong Meng, Tom Ko:
RepCodec: A Speech Representation Codec for Speech Tokenization. ACL (1) 2024: 5777-5790 - [c49]Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang:
Selective Prompting Tuning for Personalized Conversations with LLMs. ACL (Findings) 2024: 16212-16226 - [c48]Yunlong Zhao, Kexin Wang, Qianqian Dong, Tom Ko:
Parameter-Efficient Transfer Learning for End-to-end Speech Translation. LREC/COLING 2024: 12592-12598 - [c47]Qianqian Dong, Zhiying Huang, Qi Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang:
PolyVoice: Language Models for Speech to Speech Translation. ICLR 2024 - [i31]Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang:
Selective Prompting Tuning for Personalized Conversations with LLMs. CoRR abs/2406.18187 (2024) - [i30]Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang:
Learning Retrieval Augmentation for Personalized Dialogue Generation. CoRR abs/2406.18847 (2024) - [i29]Shanbo Cheng, Zhichao Huang, Tom Ko, Hang Li, Ningxin Peng, Lu Xu, Qini Zhang:
Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent. CoRR abs/2407.21646 (2024) - 2023
- [c46]Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang:
Personalized Dialogue Generation with Persona-Adaptive Attention. AAAI 2023: 12916-12923 - [c45]Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang:
MOSPC: MOS Prediction Based on Pairwise Comparison. ACL (2) 2023: 1547-1556 - [c44]Dong Zhang, Rong Ye, Tom Ko, Mingxuan Wang, Yaqian Zhou:
DUB: Discrete Unit Back-translation for Speech Translation. ACL (Findings) 2023: 7147-7164 - [c43]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu:
CTC-based Non-autoregressive Speech Translation. ACL (1) 2023: 13321-13339 - [c42]Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang:
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CVPR 2023: 19155-19164 - [c41]Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang:
Learning Retrieval Augmentation for Personalized Dialogue Generation. EMNLP 2023: 2523-2540 - [c40]Xuxin Cheng, Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Yuexian Zou:
M3ST: Mix at Three Levels for Speech Translation. ICASSP 2023: 1-5 - [c39]Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
Recent Advances in Direct Speech-to-text Translation. IJCAI 2023: 6796-6804 - [c38]Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao:
GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. INTERSPEECH 2023: 2168-2172 - [c37]Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang:
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. INTERSPEECH 2023: 2838-2842 - [c36]Chutong Meng, Junyi Ao, Tom Ko, Mingxuan Wang, Haizhou Li:
CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning. INTERSPEECH 2023: 2978-2982 - [c35]Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [i28]Xinhao Mei, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley, Yuexian Zou, Wenwu Wang:
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. CoRR abs/2303.17395 (2023) - [i27]Dong Zhang, Rong Ye, Tom Ko, Mingxuan Wang, Yaqian Zhou:
DUB: Discrete Unit Back-translation for Speech Translation. CoRR abs/2305.11411 (2023) - [i26]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu:
CTC-based Non-autoregressive Speech Translation. CoRR abs/2305.17358 (2023) - [i25]Qianqian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang:
PolyVoice: Language Models for Speech to Speech Translation. CoRR abs/2306.02982 (2023) - [i24]Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang:
MOSPC: MOS Prediction Based on Pairwise Comparison. CoRR abs/2306.10493 (2023) - [i23]Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
Recent Advances in Direct Speech-to-text Translation. CoRR abs/2306.11646 (2023) - [i22]Zhichao Huang, Chutong Meng, Tom Ko:
RepCodec: A Speech Representation Codec for Speech Tokenization. CoRR abs/2309.00169 (2023) - [i21]Zhichao Huang, Rong Ye, Tom Ko, Qianqian Dong, Shanbo Cheng, Mingxuan Wang, Hang Li:
Speech Translation with Large Language Models: An Industrial Practice. CoRR abs/2312.13585 (2023) - 2022
- [c34]Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei:
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing. ACL (1) 2022: 5723-5738 - [c33]Rui Wang, Junyi Ao, Long Zhou, Shujie Liu, Zhihua Wei, Tom Ko, Qing Li, Yu Zhang:
Multi-View Self-Attention Based Transformer for Speaker Recognition. ICASSP 2022: 6732-6736 - [c32]Fengpeng Yue, Yan Deng, Lei He, Tom Ko, Yu Zhang:
Exploring Machine Speech Chain For Domain Adaptation. ICASSP 2022: 6757-6761 - [c31]Qibing Bai, Tom Ko, Yu Zhang:
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. INTERSPEECH 2022: 501-505 - [c30]Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, Haizhou Li:
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. INTERSPEECH 2022: 1686-1690 - [c29]Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang:
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. INTERSPEECH 2022: 1781-1785 - [c28]Junyi Ao, Ziqiang Zhang, Long Zhou, Shujie Liu, Haizhou Li, Tom Ko, Lirong Dai, Jinyu Li, Yao Qian, Furu Wei:
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data. INTERSPEECH 2022: 2658-2662 - [i20]Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, Haizhou Li:
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. CoRR abs/2203.15610 (2022) - [i19]Junyi Ao, Ziqiang Zhang, Long Zhou, Shujie Liu, Haizhou Li, Tom Ko, Lirong Dai, Jinyu Li, Yao Qian, Furu Wei:
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data. CoRR abs/2203.17113 (2022) - [i18]Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao:
GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. CoRR abs/2204.03939 (2022) - [i17]Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang:
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. CoRR abs/2205.08993 (2022) - [i16]Qibing Bai, Tom Ko, Yu Zhang:
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. CoRR abs/2208.02189 (2022) - [i15]Chutong Meng, Junyi Ao, Tom Ko, Mingxuan Wang, Haizhou Li:
CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning. CoRR abs/2210.04062 (2022) - [i14]Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang:
Personalized Dialogue Generation with Persona-Adaptive Attention. CoRR abs/2210.15088 (2022) - [i13]Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang:
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. CoRR abs/2210.16428 (2022) - [i12]Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang:
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CoRR abs/2211.15398 (2022) - [i11]Xuxin Cheng, Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Yuexian Zou:
M3ST: Mix at Three Levels for Speech Translation. CoRR abs/2212.03657 (2022) - 2021
- [c27]Xubo Liu, Qiushi Huang, Xinhao Mei, Tom Ko, H. Lilian Tang, Mark D. Plumbley, Wenwu Wang:
CL4AC: A Contrastive Loss for Audio Captioning. DCASE 2021: 196-200 - [c26]Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, H. Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang:
An Encoder-Decoder Based Audio Captioning System with Transfer and Reinforcement Learning. DCASE 2021: 206-210 - [c25]Qiushi Huang, Tom Ko, H. Lilian Tang, Xubo Liu, Bo Wu:
Token-Level Supervised Contrastive Learning for Punctuation Restoration. Interspeech 2021: 2012-2016 - [c24]Yangbin Chen, Tom Ko, Jianping Wang:
A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples. Interspeech 2021: 4224-4228 - [c23]Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie:
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. Interspeech 2021: 4244-4248 - [c22]Junyi Ao, Tom Ko:
Improving Attention-based End-to-end ASR by Incorporating an N-gram Neural Network. ISCSLP 2021: 1-5 - [c21]Fengpeng Yue, Tom Ko:
An Investigation of Positional Encoding in Transformer-based End-to-end Speech Recognition. ISCSLP 2021: 1-5 - [i10]Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie:
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. CoRR abs/2104.00513 (2021) - [i9]Fengpeng Yue, Yan Deng, Lei He, Tom Ko:
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation. CoRR abs/2104.03815 (2021) - [i8]Qiushi Huang, Tom Ko, H. Lilian Tang, Xubo Liu, Bo Wu:
Token-Level Supervised Contrastive Learning for Punctuation Restoration. CoRR abs/2107.09099 (2021) - [i7]Xubo Liu, Qiushi Huang, Xinhao Mei, Tom Ko, H. Lilian Tang, Mark D. Plumbley, Wenwu Wang:
CL4AC: A Contrastive Loss for Audio Captioning. CoRR abs/2107.09990 (2021) - [i6]Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, H. Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang:
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning. CoRR abs/2108.02752 (2021) - [i5]Rui Wang, Junyi Ao, Long Zhou, Shujie Liu, Zhihua Wei, Tom Ko, Qing Li, Yu Zhang:
Multi-View Self-Attention Based Transformer for Speaker Recognition. CoRR abs/2110.05036 (2021) - [i4]Junyi Ao, Rui Wang, Long Zhou, Shujie Liu, Shuo Ren, Yu Wu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei:
SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing. CoRR abs/2110.07205 (2021) - 2020
- [c20]Tom Ko, Yangbin Chen, Qing Li:
Prototypical Networks for Small Footprint Text-Independent Speaker Verification. ICASSP 2020: 6804-6808 - [c19]Yangbin Chen, Yun Ma, Tom Ko, Jianping Wang, Qing Li:
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization. ICPR 2020: 407-414 - [c18]Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie:
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. INTERSPEECH 2020: 1967-1971 - [c17]Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li:
An Investigation of Few-Shot Learning in Spoken Term Classification. INTERSPEECH 2020: 2582-2586 - [i3]Yangbin Chen, Yun Ma, Tom Ko, Jianping Wang, Qing Li:
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization. CoRR abs/2009.13735 (2020) - [i2]Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie:
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. CoRR abs/2010.13130 (2020)
2010 – 2019
- 2019
- [c16]Yingke Zhu, Tom Ko, Brian Mak:
Mixup Learning Strategies for Text-Independent Speaker Verification. INTERSPEECH 2019: 4345-4349 - 2018
- [c15]Zhen Qin, Tom Ko, Guangjian Tian:
Long Distance Voice Channel Diagnosis Using Deep Neural Networks. INTERSPEECH 2018: 2968-2971 - [c14]Yingke Zhu, Tom Ko, David Snyder, Brian Mak, Daniel Povey:
Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. INTERSPEECH 2018: 3573-3577 - [i1]Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li:
Meta Learning for Few-shot Keyword Spotting. CoRR abs/1812.10233 (2018) - 2017
- [c13]Tom Ko, Vijayaditya Peddinti, Daniel Povey, Michael L. Seltzer, Sanjeev Khudanpur:
A study on data augmentation of reverberant speech for robust speech recognition. ICASSP 2017: 5220-5224 - 2016
- [c12]Yajie Miao, Mohammad Gowayyed, Xingyu Na, Tom Ko, Florian Metze, Alexander Waibel:
An empirical exploration of CTC acoustic models. ICASSP 2016: 2623-2627 - 2015
- [c11]Vijayaditya Peddinti, Guoguo Chen, Vimal Manohar, Tom Ko, Daniel Povey, Sanjeev Khudanpur:
JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS. ASRU 2015: 539-546 - [c10]Tom Ko, Vijayaditya Peddinti, Daniel Povey, Sanjeev Khudanpur:
Audio augmentation for speech recognition. INTERSPEECH 2015: 3586-3589 - 2014
- [j2]Tom Ko, Brian Kan-Wing Mak:
Eigentrigraphemes for under-resourced languages. Speech Commun. 56: 132-141 (2014) - [c9]Tom Ko, Brian Mak, Cheung-Chi Leung:
Subspace Gaussian mixture model with state-dependent subspace dimensions. ICASSP 2014: 1725-1729 - [c8]Tom Ko, Brian Kan-Wing Mak, Dongpeng Chen:
Modeling inter-cluster and intra-cluster discrimination among triphones. ISCSLP 2014: 103-107 - 2013
- [j1]Tom Ko, Brian Mak:
Eigentriphones for Context-Dependent Acoustic Modeling. IEEE Trans. Speech Audio Process. 21(6): 1285-1294 (2013) - 2012
- [c7]Tom Ko, Brian Mak:
Derivation of eigentriphones by weighted principal component analysis. ICASSP 2012: 4097-4100 - 2011
- [c6]Tom Ko, Brian Mak:
Eigentriphones: A basis for context-dependent acoustic modeling. ICASSP 2011: 4892-4895 - [c5]Tom Ko, Brian Mak:
A Fully Automated Derivation of State-Based Eigentriphones for Triphone Modeling with No Tied States Using Regularization. INTERSPEECH 2011: 781-784 - 2010
- [c4]Tom Ko, Brian Mak:
Improving speech recognition by explicit modeling of phone deletions. ICASSP 2010: 4858-4861 - [c3]Brian Mak, Tom Ko:
Problems of modeling phone deletion in conversational speech for speech recognition. ISCSLP 2010: 114-118
2000 – 2009
- 2009
- [c2]Brian Mak, Tom Ko:
Automatic estimation of decoding parameters using large-margin iterative linear programming. INTERSPEECH 2009: 1219-1222 - 2008
- [c1]Brian Mak, Tom Ko:
Min-max discriminative training of decoding parameters using iterative linear programming. INTERSPEECH 2008: 915-918
Coauthor Index
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