| SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks KW Chang, WC Tseng, SW Li, H Lee arXiv preprint arXiv:2203.16773, 2022 | 35 | 2022 |
| Speechprompt v2: Prompt tuning for speech classification tasks KW Chang, YK Wang, H Shen, I Kang, WC Tseng, SW Li, H Lee arXiv preprint arXiv:2303.00733, 2023 | 26 | 2023 |
| 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 | 25 | 2023 |
| Speechgen: Unlocking the generative power of speech language models with prompts H Wu, KW Chang, YK Wu, H Lee arXiv preprint arXiv:2306.02207, 2023 | 12 | 2023 |
| Ensemble knowledge distillation of self-supervised speech models KP Huang, T Feng, YK Fu, TY Hsu, PC Yen, WC Tseng, KW Chang, H Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| 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 | 11 | 2021 |
| Toward degradation-robust voice conversion CY Huang, KW Chang, HY Lee ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Dynamic-superb: Towards a dynamic, collaborative, and comprehensive instruction-tuning benchmark for speech C Huang, KH Lu, SH Wang, CY Hsiao, CY Kuan, H Wu, S Arora, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| An exploration of in-context learning for speech language model MH Hsu, KW Chang, SW Li, H Lee arXiv preprint arXiv:2310.12477, 2023 | 4 | 2023 |
| Towards General-Purpose Text-Instruction-Guided Voice Conversion CY Kuan, CA Li, TY Hsu, TY Lin, HL Chung, KW Chang, SY Chang, H Lee 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 3 | 2023 |
| Towards audio language modeling-an overview H Wu, X Chen, YC Lin, K Chang, HL Chung, AH Liu, H Lee arXiv preprint arXiv:2402.13236, 2024 | 1 | 2024 |
| Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model KW Chang, MH Chen, YP Lin, JN Hsu, PKM Huang, C Huang, SW Li, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 1 | 2023 |
| Minisuperb: Lightweight benchmark for self-supervised speech models YH Wang, HY Chen, KW Chang, W Hsu, H Lee 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 1 | 2023 |
| Dynamically Expanded CNN Array for Video Coding E Fall, KW Chang, LG Chen Proceedings of the 2020 3rd International Conference on Image and Graphics …, 2020 | 1 | 2020 |
| EMO-SUPERB: An In-depth Look at Speech Emotion Recognition H Wu, HC Chou, KW Chang, L Goncalves, J Du, JSR Jang, CC Lee, ... arXiv preprint arXiv:2402.13018, 2024 | | 2024 |
| Codec-SUPERB: An In-Depth Analysis of Sound Codec Models H Wu, HL Chung, YC Lin, YK Wu, X Chen, YC Pai, HH Wang, KW Chang, ... arXiv preprint arXiv:2402.13071, 2024 | | 2024 |
Hung-yi LeeNational Taiwan University在 ntu.edu.tw 的電子郵件地址已通過驗證
