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Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

3 mentions on Hacker News by 2 people: 1 story, 2 comments · first 2020-09-03 · latest 2023-04-06

Mentions per year 3 mentions · busiest year 2023 (2)
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    Real Time Speech Enhancement in the Waveform Domain
    story by graderjs · 2023-01-24 · 1 comment