Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chuang; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-Yi Lee; et al. (ASRU, 2023)

Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs. - Guan-Ting Liu; En-Pei Hu; Pu-Jen Cheng; Hung-Yi Lee; Shao-Hua Sun (ICML, 2023)

ML-SUPERB: Multilingual Speech Universal PERformance Benchmark. - Jiatong Shi; Dan Berrebbi; William Chen; En-Pei Hu; Wei-Ping Huang; Ho-Lam Chung; Xuankai Chang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; Shinji Watanabe 001 (INTERSPEECH, 2023)

Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chung; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; et al. (CoRR, 2023)

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. - Liang-Hsuan Tseng; En-Pei Hu; Cheng-Han Chiang; Yuan Tseng; Hung-yi Lee; Lin-Shan Lee; Shao-Hua Sun (NeurIPS, 2024)

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. - Liang-Hsuan Tseng; En-Pei Hu; David Cheng-Han Chiang; Yuan Tseng; Hung-yi Lee; Lin-Shan Lee; Shao-Hua Sun (CoRR, 2024)

Building a Taiwanese Mandarin Spoken Language Model: A First Attempt. - Chih-Kai Yang; Yu-Kuan Fu; Chen-An Li; Yi-Cheng Lin; Yu-Xiang Lin; Wei-Chih Chen; Ho-Lam Chung; Chun-Yi Kuan; Wei-Ping Huang; Ke-Han Lu; Tzu-Quan Lin; Hsiu-Hsuan Wang; et al. (CoRR, 2024)

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment. - Ke-Han Lu; Zhehuai Chen; Szu-Wei Fu; Chao-Han Huck Yang; Sung-Feng Huang; Chih-Kai Yang; Chee-En Yu; Chun-Wei Chen; Wei-Chih Chen; Chien-yu Huang; Yi-Cheng Lin; Yu-Xiang Lin; et al. (CoRR, 2025)