17 citations · 18 across the 2 of their papers we have counts for
3 papers
cs.SD2024★ 1 cited
An Investigation of Incorporating Mamba for Speech Enhancement
Rong Chao, Wen-Huang Cheng, Moreno La Quatra +4
This work aims to investigate the use of a recently proposed, attention-free, scalable state-space model (SSM), Mamba, for the speech enhancement (SE) task. In particular, we emplo…
eess.AS2023★ 17 cited
ElectrodeNet -- A Deep Learning Based Sound Coding Strategy for Cochlear Implants
Enoch Hsin-Ho Huang, Rong Chao, Yu Tsao +1
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 con…
cs.SD2022
Perceptual Contrast Stretching on Target Feature for Speech Enhancement
Rong Chao, Cheng Yu, Szu-Wei Fu +2
Speech enhancement (SE) performance has improved considerably owing to the use of deep learning models as a base function. Herein, we propose a perceptual contrast stretching (PCS)…