no code implementations • 8 Feb 2024 • Cho-Yuan Lee, Kuan-Chen Wang, Kai-Chun Liu, Xugang Lu, Ping-Cheng Yeh, Yu Tsao
In practical scenarios involving the measurement of surface electromyography (sEMG) in muscles, particularly those areas near the heart, one of the primary sources of contamination is the presence of electrocardiogram (ECG) signals.
1 code implementation • 6 Feb 2024 • Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao
In this study, we proposed a novel approach, termed SDEMG, as a score-based diffusion model for sEMG signal denoising.
1 code implementation • 24 Oct 2022 • Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao
Electrocardiogram (ECG) artifact contamination often occurs in surface electromyography (sEMG) applications when the measured muscles are in proximity to the heart.
no code implementations • 14 Feb 2022 • Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Yu Tsao
Multimodal learning has been proven to be an effective method to improve speech enhancement (SE) performance, especially in challenging situations such as low signal-to-noise ratios, speech noise, or unseen noise types.