19 citations · 21 across the 4 of their papers we have counts for
4 papers
A Mask Free Neural Network for Monaural Speech Enhancement
Liang Liu, Haixin Guan, Jinlong Ma +3
In speech enhancement, the lack of clear structural characteristics in the target speech phase requires the use of conservative and cumbersome network frameworks. It seems difficul…
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…
Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform
Qinglong Li, Fei Gao, Haixin Guan +1
Speech enhancement algorithms based on deep learning have been improved in terms of speech intelligibility and perceptual quality greatly. Many methods focus on enhancing the ampli…