# Watch: https://github.com/xiph/rnnoise/tags
           SPELL=rnnoise
         VERSION=0.2
          SOURCE="$SPELL-$VERSION.tar.gz"
   SOURCE_URL[0]=https://github.com/xiph/$SPELL/releases/download/v$VERSION/$SOURCE
     SOURCE_HASH=sha512:2b7d4ceafde7cf1e480e9f78d39b11b92ad87c752a8ccfbb81dbb3a4c2a8a5d5c64b204843421983402a8c2a28dd834f0e17a340d261576cb42bdbbb76cbd05a
SOURCE_DIRECTORY="$BUILD_DIRECTORY/$SPELL-$VERSION"
        WEB_SITE="https://gitlab.xiph.org/xiph/rnnoise"
      LICENSE[0]="BSD-3-Clause"
         ENTERED=20250201
        KEYWORDS=""
           SHORT="noise suppression library"
cat << EOF
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.pdf
EOF
