In your favorite video conference call application, just select "Soundflower (2ch)" On Mac OS X, this is provided by Soundflower.įirst install Soundflower, and then you can just run python -m denoiser.live Need a specific loopback audio interface. If you want to use denoiser live (for a Skype call for instance), you will Pip install -r requirements_cuda.txt # If you have cuda Live Speech Enhancement Pip install -r requirements.txt # If you don't have cuda We recommend usingĪ fresh virtualenv or Conda environment. Through pip (you just want to use pre-trained model out of the box)ĭevelopment (if you want to train or hack around)Ĭlone this repository and install the dependencies. Installationįirst, install Python 3.7 (recommended with Anaconda). The proposed model is based on the Demucs architecture, originally proposed for music source-separation: ( Paper, Code). It is optimized on both time and frequency domains, using multiple loss functions.Įmpirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb.Īdditionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities. The proposed model is based on an encoder-decoder architecture with skip-connections. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. We provide a PyTorch implementation of the paper: Real Time Speech Enhancement in the Waveform Domain. Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)
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