Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech. - Chien-Yu Huang; Ke-Han Lu; Shih-Heng Wang; Chi-Yuan Hsiao; Chun-Yi Kuan; Haibin Wu; Siddhant Arora; Kai-Wei Chang; Jiatong Shi; Yifan Peng 003; Roshan S. Sharma; Shinji Watanabe 001; et al. (ICASSP, 2024)

Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR And Speech-to-Text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision. - Chih-Kai Yang; Kuan-Po Huang; Ke-Han Lu; Chun-Yi Kuan; Chi-Yuan Hsiao; Hung-Yi Lee (ICASSP Workshops, 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)

SpeechCaps: Advancing Instruction-Based Universal Speech Models with Multi-Talker Speaking Style Captioning. - Chien-Yu Huang; Min-Han Shih; Ke-Han Lu; Chi-Yuan Hsiao; 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)

Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models. - Chi-Yuan Hsiao; Ke-Han Lu; Kai-Wei Chang; Chih-Kai Yang; Wei-Chih Chen; Hung-yi Lee (CoRR, 2025)