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.
Do I understand correctly that the denoise of the file is 1.wav which is located on d:\dn
i need to enter
python -m denoiser.enhance --dns64 --noisy_dir=D:\dn\ --out_dir=D:\dn\1 ?
Do I understand correctly that the denoise of the file is 1.wav which is located on d:\dn i need to enter python -m denoiser.enhance --dns64 --noisy_dir=D:\dn\ --out_dir=D:\dn\1 ?