4 citations · 14 across the 7 of their papers we have counts for
10 papers
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…
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…
Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound Event Detection
Yunhao Liang, Yanhua Long, Yijie Li +1
In recent years, exploring effective sound separation (SSep) techniques to improve overlapping sound event detection (SED) attracts more and more attention. Creating accurate separ…
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…
CNN-based Discriminative Training for Domain Compensation in Acoustic Event Detection with Frame-wise Classifier
Tiantian Tang, Xinyuan Zhou, Yanhua Long +2
Domain mismatch is a noteworthy issue in acoustic event detection tasks, as the target domain data is difficult to access in most real applications. In this study, we propose a nov…