| Superb: Speech processing universal performance benchmark S Yang, PH Chi, YS Chuang, CIJ Lai, K Lakhotia, YY Lin, AT Liu, J Shi, ... Proc. Interspeech 2021, International Speech Communication Association (ISCA …, 2021 | 1570 | 2021 |
| Mockingjay: Unsupervised speech representation learning with deep bidirectional transformer encoders AT Liu, S Yang, PH Chi, P Hsu, H Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 521 | 2020 |
| Distilhubert: Speech representation learning by layer-wise distillation of hidden-unit bert HJ Chang, S Yang, H Lee ICASSP 2022-2022 IEEE international conference on acoustics, speech and …, 2022 | 274 | 2022 |
| SUPERB-SG: Enhanced speech processing universal performance benchmark for semantic and generative capabilities HS Tsai, HJ Chang, WC Huang, Z Huang, K Lakhotia, S Yang, S Dong, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 166* | 2022 |
| Investigating self-supervised learning for speech enhancement and separation Z Huang, S Watanabe, S Yang, P García, S Khudanpur ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 120 | 2022 |
| An exploration of self-supervised pretrained representations for end-to-end speech recognition X Chang, T Maekaku, P Guo, J Shi, YJ Lu, AS Subramanian, T Wang, ... 2021 IEEE automatic speech recognition and understanding workshop (ASRU …, 2021 | 106 | 2021 |
| A large-scale evaluation of speech foundation models S Yang, HJ Chang, Z Huang, AT Liu, CI Lai, H Wu, J Shi, X Chang, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 2884-2899, 2024 | 104 | 2024 |
| Dynamic-superb phase-2: A collaboratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks C Huang, WC Chen, S Yang, AT Liu, CA Li, YX Lin, WC Tseng, A Diwan, ... The Thirteenth International Conference on Learning Representations, 2024 | 81 | 2024 |
| S3prl-vc: Open-source voice conversion framework with self-supervised speech representations WC Huang, SW Yang, T Hayashi, HY Lee, S Watanabe, T Toda ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 60 | 2022 |
| DUAL: Discrete spoken unit adaptive learning for textless spoken question answering GT Lin, YS Chuang, HL Chung, S Yang, HJ Chen, S Dong, SW Li, ... Proc. Interspeech 2022, International Speech Communication Association (ISCA …, 2022 | 50* | 2022 |
| Understanding self-attention of self-supervised audio transformers S Yang, AT Liu, H Lee Proc. Interspeech 2020, and ICML 2020 Workshop on Self-supervision in Audio …, 2020 | 49 | 2020 |
| Superb@ slt 2022: Challenge on generalization and efficiency of self-supervised speech representation learning T Feng, A Dong, CF Yeh, S Yang, TQ Lin, J Shi, KW Chang, Z Huang, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 1096-1103, 2023 | 47 | 2023 |
| A comparative study of self-supervised speech representation based voice conversion WC Huang, SW Yang, T Hayashi, T Toda IEEE Journal of Selected Topics in Signal Processing 16 (6), 1308-1318, 2022 | 36 | 2022 |
| ParaS2S: Benchmarking and Aligning Spoken Language Models for Paralinguistic-aware Speech-to-Speech Interaction S Yang, M Tu, AT Liu, X Qu, H Lee, L Lu, Y Wang, Y Wu The Fourteenth International Conference on Learning Representations, 2026 | 27 | 2026 |
| Building a taiwanese mandarin spoken language model: A first attempt CK Yang, YK Fu, CA Li, YC Lin, YX Lin, WC Chen, HL Chung, CY Kuan, ... arXiv preprint arXiv:2411.07111, 2024 | 23 | 2024 |
| Speechnet: A universal modularized model for speech processing tasks YC Chen, PH Chi, S Yang, KW Chang, J Lin, SF Huang, DR Liu, CL Liu, ... arXiv preprint arXiv:2105.03070, 2021 | 19 | 2021 |
| Self-supervised representation learning for speech processing H Lee, A Mohamed, S Watanabe, T Sainath, K Livescu, SW Li, S Yang, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 17 | 2022 |
| Speech representation learning through self-supervised pretraining and multi-task finetuning YC Chen, S Yang, CK Lee, S See, H Lee arXiv preprint arXiv:2110.09930, 2021 | 15 | 2021 |
| Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction S Yang, B Kim, KP Huang, Q Tang, H Phan, BR Lu, H Sundar, S Ghosh, ... Forty-second International Conference on Machine Learning, 2025 | 13 | 2025 |
| IMPACT: Iterative mask-based parallel decoding for text-to-audio generation with diffusion modeling KP Huang, Yang, Shu-wen, H Phan, BR Lu, B Kim, S Macha, Q Tang, ... Forty-Second International Conference on Machine Learning, 2025 | 12 | 2025 |
Hung-yi LeeNational Taiwan UniversityVerified email at ntu.edu.tw
Andy T. LiuByteDance SeedVerified email at bytedance.com
Shinji WatanabeCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Abdelrahman MohamedResearch scientist, Facebook AI ResearchVerified email at fb.com
Xuankai ChangApple AI/MLVerified email at apple.com
Zili HuangJohns Hopkins UniversityVerified email at jhu.edu
Jiatong Shi (史嘉彤)AnuttaconVerified email at anuttacon.com
Yung-Sung ChuangMassachusetts Institute of TechnologyVerified email at mit.edu
Guan-Ting LinNational Taiwan UniversityVerified email at ntu.edu.tw
Pohan ChiNational Taiwan UniversityVerified email at ntu.edu.tw
Cheng-I Jeff LaiMeta MSLVerified email at mit.edu
Kushal LakhotiaMicrosoft AIVerified email at microsoft.com
Yist Y. LinNational Taiwan UniversityVerified email at ntu.edu.tw
Wei-Cheng TsengDepartment of Computer Science, University of Texas at AustinVerified email at ntu.edu.tw
Da-Rong LiuNational Taiwan UniversityVerified email at ntu.edu.tw
Wen-Chin HuangNagoya UniversityVerified email at g.sp.m.is.nagoya-u.ac.jp
Heng-Jui ChangMassachusetts Institute of TechnologyVerified email at mit.edu
Po-chun HsuNational Taiwan UniversityVerified email at ntu.edu.tw
