Min-max discriminative training of decoding parameters using iterative linear programming. - Brian Mak; Tom Ko (INTERSPEECH, 2008)

Automatic estimation of decoding parameters using large-margin iterative linear programming. - Brian Mak; Tom Ko (INTERSPEECH, 2009)

Improving speech recognition by explicit modeling of phone deletions. - Tom Ko; Brian Mak (ICASSP, 2010)

Problems of modeling phone deletion in conversational speech for speech recognition. - Brian Mak; Tom Ko (ISCSLP, 2010)

Eigentriphones: A basis for context-dependent acoustic modeling. - Tom Ko; Brian Mak (ICASSP, 2011)

A Fully Automated Derivation of State-Based Eigentriphones for Triphone Modeling with No Tied States Using Regularization. - Tom Ko; Brian Mak (INTERSPEECH, 2011)

Derivation of eigentriphones by weighted principal component analysis. - Tom Ko; Brian Mak (ICASSP, 2012)

Eigentriphones for Context-Dependent Acoustic Modeling. - Tom Ko; Brian Mak (IEEE Trans. Speech Audio Process., 2013)

Subspace Gaussian mixture model with state-dependent subspace dimensions. - Tom Ko; Brian Mak; Cheung-Chi Leung (ICASSP, 2014)

Modeling inter-cluster and intra-cluster discrimination among triphones. - Tom Ko; Brian Kan-Wing Mak; Dongpeng Chen (ISCSLP, 2014)

Eigentrigraphemes for under-resourced languages. - Tom Ko; Brian Kan-Wing Mak (Speech Commun., 2014)

JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS. - Vijayaditya Peddinti; Guoguo Chen; Vimal Manohar; Tom Ko; Daniel Povey; Sanjeev Khudanpur (ASRU, 2015)

Audio augmentation for speech recognition. - Tom Ko; Vijayaditya Peddinti; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2015)

An empirical exploration of CTC acoustic models. - Yajie Miao; Mohammad Gowayyed; Xingyu Na; Tom Ko; Florian Metze; Alexander Waibel (ICASSP, 2016)

A study on data augmentation of reverberant speech for robust speech recognition. - Tom Ko; Vijayaditya Peddinti; Daniel Povey; Michael L. Seltzer; Sanjeev Khudanpur (ICASSP, 2017)

Long Distance Voice Channel Diagnosis Using Deep Neural Networks. - Zhen Qin; Tom Ko; Guangjian Tian (INTERSPEECH, 2018)

Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. - Yingke Zhu; Tom Ko; David Snyder; Brian Mak; Daniel Povey (INTERSPEECH, 2018)

Meta Learning for Few-shot Keyword Spotting. - Yangbin Chen; Tom Ko; Lifeng Shang; Xiao Chen 012; Xin Jiang 002; Qing Li 001 (CoRR, 2018)

Mixup Learning Strategies for Text-Independent Speaker Verification. - Yingke Zhu; Tom Ko; Brian Mak (INTERSPEECH, 2019)

Prototypical Networks for Small Footprint Text-Independent Speaker Verification. - Tom Ko; Yangbin Chen; Qing Li 001 (ICASSP, 2020)

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization. - Yangbin Chen; Yun Ma 001; Tom Ko; Jianping Wang 001; Qing Li 001 (ICPR, 2020)

An Investigation of Few-Shot Learning in Spoken Term Classification. - Yangbin Chen; Tom Ko; Lifeng Shang; Xiao Chen 012; Xin Jiang 002; Qing Li 001 (INTERSPEECH, 2020)

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. - Jingsong Wang; Tom Ko; Zhen Xu 007; Xiawei Guo; Souxiang Liu; Wei-Wei Tu; Lei Xie (INTERSPEECH, 2020)

CL4AC: A Contrastive Loss for Audio Captioning. - Xubo Liu 001; Qiushi Huang; Xinhao Mei; Tom Ko; H. Lilian Tang; Mark D. Plumbley; Wenwu Wang 001 (DCASE, 2021)

An Encoder-Decoder Based Audio Captioning System with Transfer and Reinforcement Learning. - Xinhao Mei; Qiushi Huang; Xubo Liu 001; Gengyun Chen; Jingqian Wu; Yusong Wu; Jinzheng Zhao; Shengchen Li; Tom Ko; H. Lilian Tang; Xi Shao; Mark D. Plumbley; et al. (DCASE, 2021)

A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples. - Yangbin Chen; Tom Ko; Jianping Wang 001 (Interspeech, 2021)

Token-Level Supervised Contrastive Learning for Punctuation Restoration. - Qiushi Huang; Tom Ko; H. Lilian Tang; Xubo Liu 001; Bo Wu 018 (Interspeech, 2021)

Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. - Jingsong Wang; Yuxuan He; Chunyu Zhao; Qijie Shao; Wei-Wei Tu; Tom Ko; Hung-yi Lee; Lei Xie (Interspeech, 2021)

Improving Attention-based End-to-end ASR by Incorporating an N-gram Neural Network. - Junyi Ao; Tom Ko (ISCSLP, 2021)

An Investigation of Positional Encoding in Transformer-based End-to-end Speech Recognition. - Fengpeng Yue; Tom Ko (ISCSLP, 2021)

Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation. - Fengpeng Yue; Yan Deng; Lei He 005; Tom Ko (CoRR, 2021)

SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing. - Junyi Ao; Rui Wang 073; Long Zhou; Shujie Liu 001; Shuo Ren; Yu Wu 012; Tom Ko; Qing Li 001; Yu Zhang 006; Zhihua Wei 001; Yao Qian; Jinyu Li 001; et al. (CoRR, 2021)

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing. - Junyi Ao; Rui Wang 073; Long Zhou; Chengyi Wang 002; Shuo Ren; Yu Wu 012; Shujie Liu 001; Tom Ko; Qing Li 001; Yu Zhang 006; Zhihua Wei 001; Yao Qian; et al. (ACL (1), 2022)

Multi-View Self-Attention Based Transformer for Speaker Recognition. - Rui Wang 073; Junyi Ao; Long Zhou; Shujie Liu 001; Zhihua Wei 001; Tom Ko; Qing Li 001; Yu Zhang 006 (ICASSP, 2022)

Exploring Machine Speech Chain For Domain Adaptation. - Fengpeng Yue; Yan Deng; Lei He 005; Tom Ko; Yu Zhang 006 (ICASSP, 2022)

Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data. - Junyi Ao; Ziqiang Zhang; Long Zhou; Shujie Liu 001; Haizhou Li 001; Tom Ko; Lirong Dai 001; Jinyu Li 001; Yao Qian; Furu Wei (INTERSPEECH, 2022)

A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. - Qibing Bai; Tom Ko; Yu Zhang 006 (INTERSPEECH, 2022)

Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. - Qianqian Dong; Fengpeng Yue; Tom Ko; Mingxuan Wang; Qibing Bai; Yu Zhang 006 (INTERSPEECH, 2022)

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. - Rui Wang 073; Qibing Bai; Junyi Ao; Long Zhou; Zhixiang Xiong; Zhihua Wei 001; Yu Zhang 006; Tom Ko; Haizhou Li 001 (INTERSPEECH, 2022)

M3ST: Mix at Three Levels for Speech Translation. - Xuxin Cheng; Qianqian Dong; Fengpeng Yue; Tom Ko; Mingxuan Wang; Yuexian Zou (CoRR, 2022)

Personalized Dialogue Generation with Persona-Adaptive Attention. - Qiushi Huang; Yu Zhang 006; Tom Ko; Xubo Liu 001; Bo Wu 018; Wenwu Wang 001; H. Lilian Tang (AAAI, 2023)

CTC-based Non-autoregressive Speech Translation. - Chen Xu 008; Xiaoqian Liu; Xiaowen Liu; Qingxuan Sun; Yuhao Zhang; Murun Yang; Qianqian Dong; Tom Ko; Mingxuan Wang; Tong Xiao; Anxiang Ma; Jingbo Zhu (ACL (1), 2023)

MOSPC: MOS Prediction Based on Pairwise Comparison. - Kexin Wang; Yunlong Zhao 004; Qianqian Dong; Tom Ko; Mingxuan Wang (ACL (2), 2023)

DUB: Discrete Unit Back-translation for Speech Translation. - Dong Zhang; Rong Ye; Tom Ko; Mingxuan Wang; Yaqian Zhou 001 (ACL (Findings), 2023)

Leveraging per Image-Token Consistency for Vision-Language Pre-training. - Yunhao Gou; Tom Ko; Hansi Yang; James T. Kwok; Yu Zhang 006; Mingxuan Wang (CVPR, 2023)

Learning Retrieval Augmentation for Personalized Dialogue Generation. - Qiushi Huang; Shuai Fu; Xubo Liu 001; Wenwu Wang 001; Tom Ko; Yu Zhang 006; Lilian Tang (EMNLP, 2023)

M3ST: Mix at Three Levels for Speech Translation. - Xuxin Cheng; Qianqian Dong; Fengpeng Yue; Tom Ko; Mingxuan Wang; Yuexian Zou (ICASSP, 2023)

Recent Advances in Direct Speech-to-text Translation. - Chen Xu 008; Rong Ye; Qianqian Dong; Chengqi Zhao; Tom Ko; Mingxuan Wang; Tong Xiao; Jingbo Zhu (IJCAI, 2023)

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. - Xubo Liu 001; Qiushi Huang; Xinhao Mei; Haohe Liu; Qiuqiang Kong; Jianyuan Sun; Shengchen Li; Tom Ko; Yu Zhang 006; H. Lilian Tang; Mark D. Plumbley; Volkan Kiliç; et al. (INTERSPEECH, 2023)

CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning. - Chutong Meng; Junyi Ao; Tom Ko; Mingxuan Wang; Haizhou Li 001 (INTERSPEECH, 2023)

GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. - Rong Ye; Chengqi Zhao; Tom Ko; Chutong Meng; Tao Wang 086; Mingxuan Wang; Jun Cao (INTERSPEECH, 2023)

Findings of the IWSLT 2023 Evaluation Campaign. - Sweta Agrawal; Antonios Anastasopoulos; Luisa Bentivogli; Ondrej Bojar; Claudia Borg; Marine Carpuat; Roldano Cattoni; Mauro Cettolo; Mingda Chen; William Chen; Khalid Choukri; Alexandra Chronopoulou; et al. (IWSLT@ACL, 2023)

PolyVoice: Language Models for Speech to Speech Translation. - Qianqian Dong; Zhiying Huang; Qiao Tian 001; Chen Xu 008; Tom Ko; Yunlong Zhao 004; Siyuan Feng; Tang Li 001; Kexin Wang; Xuxin Cheng; Fengpeng Yue; Ye Bai; et al. (CoRR, 2023)

Speech Translation with Large Language Models: An Industrial Practice. - Zhichao Huang 002; Rong Ye; Tom Ko; Qianqian Dong; Shanbo Cheng; Mingxuan Wang; Hang Li 001 (CoRR, 2023)

Selective Prompting Tuning for Personalized Conversations with LLMs. - Qiushi Huang; Xubo Liu 001; Tom Ko; Bo Wu 018; Wenwu Wang 001; Yu Zhang 006; Lilian Tang (ACL (Findings), 2024)

RepCodec: A Speech Representation Codec for Speech Tokenization. - Zhichao Huang 002; Chutong Meng; Tom Ko (ACL (1), 2024)

Parameter-Efficient Transfer Learning for End-to-end Speech Translation. - Yunlong Zhao 004; Kexin Wang; Qianqian Dong; Tom Ko (LREC/COLING, 2024)

PolyVoice: Language Models for Speech to Speech Translation. - Qianqian Dong; Zhiying Huang; Qi Tian 001; Chen Xu 008; Tom Ko; Yunlong Zhao 004; Siyuan Feng; Tang Li 001; Kexin Wang; Xuxin Cheng; Fengpeng Yue; Ye Bai; et al. (ICLR, 2024)

Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent. - Shanbo Cheng; Zhichao Huang 002; Tom Ko; Hang Li 001; Ningxin Peng; Lu Xu; Qini Zhang (CoRR, 2024)

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. - Xinhao Mei; Chutong Meng; Haohe Liu; Qiuqiang Kong; Tom Ko; Chengqi Zhao; Mark D. Plumbley; Yuexian Zou; Wenwu Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

ComLoRA: A Competitive Learning Approach for Enhancing LoRA. - Qiushi Huang; Tom Ko; Lilian Tang; Yu Zhang 006 (ICLR, 2025)

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models. - Qiushi Huang; Tom Ko; Zhan Zhuang; Lilian Tang; Yu Zhang 006 (ICLR, 2025)