facebookresearch/denoiser
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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
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I relly hope Meta (FB research) releases this wonderful noise reduction library: https://github.com/facebookresearch/denoiser I tested MANY while building various audio tech and this was by far the best (beats the shit out of all the…
comment by graderjs · 2023-04-06 · in Meta Releases New AI-Based Photo Segmentation Tool to Everybody -
Link to the source code: https://github.com/facebookresearch/denoiser You can try it really easily if your CPU >= 2GHz and you have a loopback audio interface. On Mac OS X you can use Soundflower, I welcome advice for alternatives on…
comment by lapink · 2020-09-03 · in Real time denoising on CPU with Demucs