Andy T. Liu

According to our database, Andy T. Liu authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Yist Y. Lin, Yung-Sung Chuang, Tzu-Hsien Huang, Wei-Cheng Tseng, Kushal Lakhotia, Shang-Wen Li, Abdelrahman Mohamed, Shinji Watanabe, Hung-yi Lee

IEEE ACM Trans. Audio Speech Lang. Process., 2024

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, Robby T. Tan

CoRR, 2024

Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget.

Andy T. Liu, Yi-Cheng Lin, Haibin Wu, Stefan Winkler, Hung-yi Lee

CoRR, 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

CoRR, 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

On the social bias of speech self-supervised models.

Yi-Cheng Lin, Tzu-Quan Lin, Hsi-Che Lin, Andy T. Liu, Hung-yi Lee

CoRR, 2024

2023

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

2022

Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning.

Haibin Wu, Xu Li, Andy T. Liu, Zhiyong Wu, Helen Meng, Hung-Yi Lee

IEEE ACM Trans. Audio Speech Lang. Process., 2022

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.

Andy T. Liu, Wei Xiao, Henghui Zhu, Dejiao Zhang, Shang-Wen Li, Andrew O. Arnold

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2022

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, Hsuan-Jui Chen, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech.

Andy T. Liu, Shang-Wen Li, Hung-yi Lee

IEEE ACM Trans. Audio Speech Lang. Process., 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, Ko-tik Lee, Da-Rong Liu, Zili Huang, Shuyan Dong, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Adversarial Defense for Automatic Speaker Verification by Cascaded Self-Supervised Learning Models.

Haibin Wu, Xu Li, Andy T. Liu, Zhiyong Wu, Helen Meng, Hung-yi Lee

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Understanding Self-Attention of Self-Supervised Audio Transformers.

Shu-Wen Yang, Andy T. Liu, Hung-yi Lee

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning.

Haibin Wu, Andy T. Liu, Hung-yi Lee

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Towards Robust Neural Vocoding for Speech Generation: A Survey.

Po-Chun Hsu, Chun-hsuan Wang, Andy T. Liu, Hung-yi Lee

CoRR, 2019

Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion.

Andy T. Liu, Po-Chun Hsu, Hung-yi Lee

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019