no code implementations • 29 Mar 2023 • Yi-Syuan Liou, Tsung-Han Wu, Jia-Fong Yeh, Wen-Chin Chen, Winston H. Hsu
MuRAL identifies informative regions of various scales to reduce annotation costs for well-learned objects and improve training performance.
1 code implementation • 14 Feb 2022 • Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Kuan-Chih Huang, Winston H. Hsu
In the field of domain adaptation, a trade-off exists between the model performance and the number of target domain annotations.
no code implementations • 8 Sep 2021 • Yi-Syuan Liou, Wen-Chin Huang, Ming-Chi Yen, Shu-Wei Tsai, Yu-Huai Peng, Tomoki Toda, Yu Tsao, Hsin-Min Wang
Voice conversion (VC) is an effective approach to electrolaryngeal (EL) speech enhancement, a task that aims to improve the quality of the artificial voice from an electrolarynx device.