RNNoise 0.2 was released today as the latest iteration of this deep learning powered real-time noise suppression library. There are many improvements along with improved training for it. Most notable for end-users are likely the SSE4.1 and AVX2 optimizations for better performance. There is also RTCD-powered CPU runtime detection for determining the optimal features to use at run-time.
RNNoise 0.2 has also been changed so that the distributed models are trained using only publicly-available datasets.
Downloads and more information on the RNNoise 0.2 release via GitHub . Those learning about this RNNoise effort for the first time that is supported by Mozilla and Xiph.Org can learn more background information here .
I'll be working to get out some updated RNNoise benchmarks of different processors soon that should be interesting given the AVX2 optimizations in this v0.2 release.