arXiv:2105.11813
공식 코드 · Papers with Code
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
원문 초록
Recent interest in exploiting Deep Learning techniques for Noise Suppression, has led to the creation of Hybrid Denoising Systems that combine classic Signal Processing with Deep Learning. In this paper, we concentrated our efforts on extending the RNNoise denoising system (arXiv:1709.08243) with the inclusion of complementary features during the training phase. We present a comprehensive explanation of the set-up process of a modified system and present the comparative results derived from a performance evaluation analysis, using a reference version of RNNoise as control.
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A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement
Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation
D²Net: A Denoising and Dereverberation Network Based on Two-branch Encoder and Dual-path Transformer
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