1 code implementation • 10 May 2024 • Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
This work aims to study a scalable state-space model (SSM), Mamba, for the speech enhancement (SE) task.
Ranked #1 on Speech Enhancement on VoiceBank + DEMAND
no code implementations • 26 May 2023 • Enoch Hsin-Ho Huang, Rong Chao, Yu Tsao, Chao-Min Wu
ElectrodeNet, a deep learning based sound coding strategy for the cochlear implant (CI), is proposed to emulate the advanced combination encoder (ACE) strategy by replacing the conventional envelope detection using various artificial neural networks.
1 code implementation • 31 Mar 2022 • Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao
Specifically, the contrast of target features is stretched based on perceptual importance, thereby improving the overall SE performance.
Ranked #6 on Speech Enhancement on VoiceBank + DEMAND