Papers
A Cross-channel Attention-based Wave-U-Net for Multi-channel Speech Enhancement
International Conference
2016~2020
작성자
한혜원
작성일
2020-10-01 16:50
조회
1867
With a channel-independent encoding architecture for spectral estimation and a strategy to extract spatial information through an inter-channel attention mechanism, we implement a multi-channel speech enhancement system that has high performance even in reverberant and extremely noisy environments.
Experimental results show that the proposed architecture has superior performance in terms of signal-to-distortion ratio improvement (SDRi), short-time objective intelligence (STOI), and phoneme error rate (PER) for speech recognition.
전체 355
2 | International Conference | Miseul Kim, Minh-Tri Ho, Hong-Goo Kang "Self-supervised Complex Network for Machine Sound Anomaly Detection" in EUSIPCO, 2021 | |
1 | International Conference | Minh-Tri Ho, Jinyoung Lee, Bong-Ki Lee, Dong Hoon Yi, Hong-Goo Kang "A Cross-channel Attention-based Wave-U-Net for Multi-channel Speech Enhancement" in INTERSPEECH, 2020 | |