7 citations · 14 across the 9 of their papers we have counts for
10 papers
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism
Yuguang Yang, Yu Pan, Jingjing Yin +3
SqueezeFormer has recently shown impressive performance in automatic speech recognition (ASR). However, its inference speed suffers from the quadratic complexity of softmax-attenti…
Dynamic Acoustic Compensation and Adaptive Focal Training for Personalized Speech Enhancement
Xiaofeng Ge, Jiangyu Han, Haixin Guan +1
Recently, more and more personalized speech enhancement systems (PSE) with excellent performance have been proposed. However, two critical issues still limit the performance and ge…
DiaCorrect: End-to-end error correction for speaker diarization
Jiangyu Han, Yuhang Cao, Heng Lu +1
In recent years, speaker diarization has attracted widespread attention. To achieve better performance, some studies propose to diarize speech in multiple stages. Although these me…
Heterogeneous Separation Consistency Training for Adaptation of Unsupervised Speech Separation
Jiangyu Han, Yanhua Long
Recently, supervised speech separation has made great progress. However, limited by the nature of supervised training, most existing separation methods require ground-truth sources…
PercepNet+: A Phase and SNR Aware PercepNet for Real-Time Speech Enhancement
Xiaofeng Ge, Jiangyu Han, Yanhua Long +1
PercepNet, a recent extension of the RNNoise, an efficient, high-quality and real-time full-band speech enhancement technique, has shown promising performance in various public dee…
DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation And Extraction
Jiangyu Han, Yanhua Long, Lukas Burget +1
In recent years, a number of time-domain speech separation methods have been proposed. However, most of them are very sensitive to the environments and wide domain coverage tasks.…
Improving Channel Decorrelation for Multi-Channel Target Speech Extraction
Jiangyu Han, Wei Rao, Yannan Wang +1
Target speech extraction has attracted widespread attention. When microphone arrays are available, the additional spatial information can be helpful in extracting the target speech…
INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing
Wei Rao, Yihui Fu, Yanxin Hu +11
The ConferencingSpeech 2021 challenge is proposed to stimulate research on far-field multi-channel speech enhancement for video conferencing. The challenge consists of two separate…
Multi-channel target speech extraction with channel decorrelation and target speaker adaptation
Jiangyu Han, Xinyuan Zhou, Yanhua Long +1
The end-to-end approaches for single-channel target speech extraction have attracted widespread attention. However, the studies for end-to-end multi-channel target speech extractio…
Attention-based scaling adaptation for target speech extraction
Jiangyu Han, Wei Rao, Yanhua Long +1
The target speech extraction has attracted widespread attention in recent years. In this work, we focus on investigating the dynamic interaction between different mixtures and the…