115 citations · 433 across the 30 of their papers we have counts for
10 papers · 1 filter
FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization
Yabo Wang, Bing Yang, Xiaofei Li
Extracting direct-path spatial features is critical for sound source localization in adverse acoustic environments. This paper proposes a full-band and narrow-band fusion network f…
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement
Xiang Hao, Xiaofei Li
FullSubNet is our recently proposed real-time single-channel speech enhancement network that achieves outstanding performance on the Deep Noise Suppression (DNS) Challenge dataset.…
McNet: Fuse Multiple Cues for Multichannel Speech Enhancement
Yujie Yang, Changsheng Quan, Xiaofei Li
In multichannel speech enhancement, both spectral and spatial information are vital for discriminating between speech and noise. How to fully exploit these two types of information…
Speech Dereverberation with a Reverberation Time Shortening Target
Rui Zhou, Wenye Zhu, Xiaofei Li
This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the dire…
Speech Dereverberation with A Reverberation Time Shortening Target
Rui Zhou, Wenye Zhu, Xiaofei Li
This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the dire…
RCT: Random Consistency Training for Semi-supervised Sound Event Detection
Nian Shao, Erfan Loweimi, Xiaofei Li
Sound event detection (SED), as a core module of acoustic environmental analysis, suffers from the problem of data deficiency. The integration of semi-supervised learning (SSL) lar…
Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement
Siyuan Zhang, Xiaofei Li
This paper addresses the problem of microphone array generalization for deep-learning-based end-to-end multichannel speech enhancement. We aim to train a unique deep neural network…
Semi-supervised Sound Event Detection using Random Augmentation and Consistency Regularization
Xiaofei Li
Sound event detection is a core module for acoustic environmental analysis. Semi-supervised learning technique allows to largely scale up the dataset without increasing the annotat…
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement
Xiang Hao, Xiangdong Su, Radu Horaud +1
This paper proposes a full-band and sub-band fusion model, named as FullSubNet, for single-channel real-time speech enhancement. Full-band and sub-band refer to the models that inp…
Sub-Band Knowledge Distillation Framework for Speech Enhancement
Xiang Hao, Shixue Wen, Xiangdong Su +3
In single-channel speech enhancement, methods based on full-band spectral features have been widely studied. However, only a few methods pay attention to non-full-band spectral fea…