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Found 4 papers, 1 papers with code
A Mask Free Neural Network for Monaural Speech Enhancement
In speech enhancement, the lack of clear structural characteristics in the target speech phase requires the use of conservative and cumbersome network frameworks.
Dynamic Acoustic Compensation and Adaptive Focal Training for Personalized Speech Enhancement
Recently, more and more personalized speech enhancement systems (PSE) with excellent performance have been proposed.
PercepNet+: A Phase and SNR Aware PercepNet for Real-Time Speech Enhancement
Finally, we propose to integrate the loss of complex subband gain, SNR, pitch filtering strength, and an OA loss in a multi-objective learning manner to further improve the speech enhancement performance.
Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform
Speech enhancement algorithms based on deep learning have been improved in terms of speech intelligibility and perceptual quality greatly.
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