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Found 6 papers, 5 papers with code
DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement
Multi-frame algorithms for single-channel speech enhancement are able to take advantage from short-time correlations within the speech signal.
Ranked #10 on
Speech Enhancement
on VoiceBank + DEMAND
Deep Multi-Frame Filtering for Hearing Aids
Alternatively, the complex filter can be estimated via an MF minimum variance distortionless response (MVDR), or MF Wiener filter (WF).
DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
This makes the algorithm applicable to run on embedded devices in real-time.
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
In this work, we propose DeepFilterNet, a two stage speech enhancement framework utilizing deep filtering.
CLC: Complex Linear Coding for the DNS 2020 Challenge
Based on the published test set, we outperform the baseline w. r. t.
CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding
To improve monaural speech enhancement in noisy environments, we propose CLCNet, a framework based on complex valued linear coding.
