The audio/rnnoise port
rnnoise-0.2p0 – recurrent neural network for audio noise reduction (cvsweb github mirror)
Description
RNNoise is a noise suppression library based on a recurrent neural network. A description of the algorithm is provided in the following paper: J.-M. Valin, A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement, Proceedings of IEEE Multimedia Signal Processing (MMSP) Workshop, arXiv:1709.08243, 2018. https://arxiv.org/pdf/1709.08243 While it is meant to be used as a library, the code for a simple command-line tool is provided as an example. It operates on RAW 16-bit (machine endian) mono PCM files sampled at 48 kHz.WWW: https://jmvalin.ca/demo/rnnoise
Maintainer
Klemens Nanni
Categories
Build dependencies
Files
- /usr/local/include/rnnoise.h
- /usr/local/lib/librnnoise.a
- /usr/local/lib/librnnoise.la
- /usr/local/lib/librnnoise.so.0.1
- /usr/local/lib/pkgconfig/rnnoise.pc
- /usr/local/share/doc/rnnoise/
- /usr/local/share/doc/rnnoise/AUTHORS
- /usr/local/share/doc/rnnoise/COPYING
- /usr/local/share/doc/rnnoise/README
- /usr/local/share/examples/rnnoise/
- /usr/local/share/examples/rnnoise/rnnoise_demo.c