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.
Other
1.65k
stars
302
forks
source link
Background noise persistant even after running the denoiser #156
I tried running the denoiser in ubuntu terminal as per the instructions given in the readme file and then joined a google meet call to test and the denoiser was not working at all. I the tried using another calling service app known as jami for both video and audio calls but the result was same, there was persistent background noise.
I tried running the denoiser in ubuntu terminal as per the instructions given in the readme file and then joined a google meet call to test and the denoiser was not working at all. I the tried using another calling service app known as jami for both video and audio calls but the result was same, there was persistent background noise.