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Recurrent neural network for audio noise reduction, slightly improved for general use
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GregorR/rnnoise-nu
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RNNoise is a noise suppression library based on a recurrent neural network. RNNoise-nu is a modified version of RNNoise aimed to be a bit more general purpose. To compile, just type: % autoreconf -i % ./configure % make Optionally: % make install While it is meant to be used as a library, 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. It can be used as: ./examples/rnnoise_demo <number of channels> <maximum attenuation> [model to use] < input.raw > output.raw The output is also a 16-bit raw PCM file. For information on the neural network models available, see https://github.com/GregorR/rnnoise-models
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Recurrent neural network for audio noise reduction, slightly improved for general use
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