1 citations · 1 across the 4 of their papers we have counts for
4 papers
MC-SEMamba: A Simple Multi-channel Extension of SEMamba
Wen-Yuan Ting, Wenze Ren, Rong Chao +3
Transformer-based models have become increasingly popular and have impacted speech-processing research owing to their exceptional performance in sequence modeling. Recently, a prom…
Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech Enhancement
Wenze Ren, Haibin Wu, Yi-Cheng Lin +7
In multichannel speech enhancement, effectively capturing spatial and spectral information across different microphones is crucial for noise reduction. Traditional methods, such as…
IANS: Intelligibility-aware Null-steering Beamforming for Dual-Microphone Arrays
Wen-Yuan Ting, Syu-Siang Wang, Yu Tsao +1
Beamforming techniques are popular in speech-related applications due to their effective spatial filtering capabilities. Nonetheless, conventional beamforming techniques generally…
Speech Enhancement Based on Cyclegan with Noise-informed Training
Wen-Yuan Ting, Syu-Siang Wang, Hsin-Li Chang +2
Cycle-consistent generative adversarial networks (CycleGAN) were successfully applied to speech enhancement (SE) tasks with unpaired noisy-clean training data. The CycleGAN SE syst…