
This demo
introduces the PercepNet algorithm, which combines signal processing, knowledge of human perception, and deep learning to enhance speech in real time. PercepNet ranked second in the real-time track of the Interspeech 2020 Deep Noise Suppression challenge, despite using only 5% of a CPU core. We've previously talked about PercepNet
here, but this time we go into the technical details of how and why it works.