Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion. - Andy T. Liu; Po-Chun Hsu; Hung-yi Lee (INTERSPEECH, 2019)

Towards Robust Neural Vocoding for Speech Generation: A Survey. - Po-Chun Hsu; Chun-hsuan Wang; Andy T. Liu; Hung-yi Lee (CoRR, 2019)

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders. - Andy T. Liu; Shu-Wen Yang; Po-Han Chi; Po-Chun Hsu; Hung-yi Lee (ICASSP, 2020)

Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning. - Haibin Wu; Andy T. Liu; Hung-yi Lee (INTERSPEECH, 2020)

Understanding Self-Attention of Self-Supervised Audio Transformers. - Shu-Wen Yang; Andy T. Liu; Hung-yi Lee (INTERSPEECH, 2020)

Adversarial Defense for Automatic Speaker Verification by Cascaded Self-Supervised Learning Models. - Haibin Wu; Xu Li 015; Andy T. Liu; Zhiyong Wu 001; Helen Meng; Hung-yi Lee (ICASSP, 2021)

SUPERB: Speech Processing Universal PERformance Benchmark. - Shu-Wen Yang; Po-Han Chi; Yung-Sung Chuang; Cheng-I Jeff Lai; Kushal Lakhotia; Yist Y. Lin; Andy T. Liu; Jiatong Shi; Xuankai Chang; Guan-Ting Lin; Tzu-Hsien Huang; Wei-Cheng Tseng; et al. (Interspeech, 2021)

TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech. - Andy T. Liu; Shang-Wen Li 001; Hung-yi Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities. - Hsiang-Sheng Tsai; Heng-Jui Chang; Wen-Chin Huang; Zili Huang; Kushal Lakhotia; Shu-Wen Yang; Shuyan Dong; Andy T. Liu; Cheng-I Lai; Jiatong Shi; Xuankai Chang; Phil Hall; et al. (ACL (1), 2022)

Don't Speak Too Fast: The Impact of Data Bias on Self-Supervised Speech Models. - Yen Meng; Yi-Hui Chou; Andy T. Liu; Hung-yi Lee (ICASSP, 2022)

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. - Andy T. Liu; Wei Xiao 001; Henghui Zhu; Dejiao Zhang; Shang-Wen Li 001; Andrew O. Arnold (CoRR, 2022)

Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning. - Haibin Wu; Xu Li 015; Andy T. Liu; Zhiyong Wu 001; Helen Meng; Hung-Yi Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Parallel Synthesis for Autoregressive Speech Generation. - Po-Chun Hsu; Da-Rong Liu; Andy T. Liu; Hung-yi Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

On the social bias of speech self-supervised models. - Yi-Cheng Lin; Tzu-Quan Lin; Hsi-Che Lin; Andy T. Liu; Hung-yi Lee (INTERSPEECH, 2024)

Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget. - Andy T. Liu; Yi-Cheng Lin; Haibin Wu; Stefan Winkler 001; Hung-Yi Lee (SLT, 2024)

uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization. - Aishik Nagar; Yutong Liu; Andy T. Liu; Viktor Schlegel; Vijay Prakash Dwivedi; Arun-Kumar Kaliya-Perumal; Guna Pratheep Kalanchiam; Yili Tang; Robby T. Tan (CoRR, 2024)

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. - Chien-yu Huang; Wei-Chih Chen; Shu-Wen Yang; Andy T. Liu; Chen-An Li; Yu-Xiang Lin; Wei-Cheng Tseng; Anuj Diwan; Yi-Jen Shih; Jiatong Shi; William Chen; Xuanjun Chen; et al. (CoRR, 2024)

A Large-Scale Evaluation of Speech Foundation Models. - Shu-Wen Yang; Heng-Jui Chang; Zili Huang; Andy T. Liu; Cheng-I Lai; Haibin Wu; Jiatong Shi; Xuankai Chang; Hsiang-Sheng Tsai; Wen-Chin Huang; Tzu-hsun Feng; Po-Han Chi; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. - Kuluhan Binici; Abhinav Ramesh Kashyap; Viktor Schlegel; Andy T. Liu; Vijay Prakash Dwivedi; Thanh-Tung Nguyen; Xiaoxue Gao; Nancy F. Chen; Stefan Winkler 001 (AAAI, 2025)

uMedSum: A Unified Framework for Clinical Abstractive Summarization. - Aishik Nagar; Yutong Liu; Andy T. Liu; Viktor Schlegel; Vijay Prakash Dwivedi; Arun-Kumar Kaliya-Perumal; Guna Pratheep Kalanchiam; Yili Tang; Robby T. Tan (ACL (1), 2025)

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling. - Shao-Syuan Huang; Kuan-Po Huang; Andy T. Liu; Hung-Yi Lee (ICASSP, 2025)

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. - Chien-yu Huang; Wei-Chih Chen; Shu-Wen Yang; Andy T. Liu; Chen-An Li; Yu-Xiang Lin; Wei-Cheng Tseng; Anuj Diwan; Yi-Jen Shih; Jiatong Shi; William Chen; Chih-Kai Yang; et al. (ICLR, 2025)

Representation Learning of Structured Data for Medical Foundation Models. - Vijay Prakash Dwivedi; Viktor Schlegel; Andy T. Liu; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Jeng Wei; Wei-Hsian Yin; Stefan Winkler 001; Robby T. Tan (UniReps, 2025)