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 | 24 | 2023 |
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 | 12 | 2024 |
On the efficiency of integrating self-supervised learning and meta-learning for user-defined few-shot keyword spotting WT Kao, YK Wu, CP Chen, ZS Chen, YP Tsai, HY Lee 2022 IEEE Spoken Language Technology Workshop (SLT), 414-421, 2023 | 8 | 2023 |
One shot learning for speech separation YK Wu, KP Huang, Y Tsao, H Lee ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
Multi-accent speech separation with one shot learning KP Huang, YK Wu, H Lee arXiv preprint arXiv:2106.11713, 2021 | 4 | 2021 |
Improving the transferability of speech separation by meta-learning KP Huang, YK Wu, H Lee arXiv preprint arXiv:2203.05882, 2022 | 3 | 2022 |
SADDEL: Joint speech separation and denoising model based on multitask learning YK Wu, CI Tuan, H Lee, Y Tsao arXiv preprint arXiv:2005.09966, 2020 | 3 | 2020 |
Mitas: A compressed time-domain audio separation network with parameter sharing CI Tuan, YK Wu, H Lee, Y Tsao arXiv preprint arXiv:1912.03884, 2019 | 3 | 2019 |
Codec-SUPERB@ SLT 2024: A lightweight benchmark for neural audio codec models H Wu, X Chen, YC Lin, K Chang, J Du, KH Lu, AH Liu, HL Chung, YK Wu, ... arXiv preprint arXiv:2409.14085, 2024 | 1 | 2024 |
Speechprompt: Prompting speech language models for speech processing tasks KW Chang, H Wu, YK Wang, YK Wu, H Shen, WC Tseng, I Kang, SW Li, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 1 | 2024 |