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Updated README
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README

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RNNoise is a noise suppression library based on a recurrent neural network
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RNNoise is a noise suppression library based on a recurrent neural network.
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To compile, just type:
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% ./autogen.sh
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provided as an example. It operates on RAW 16-bit (machine endian) mono
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PCM files sampled at 48 kHz. It can be used as:
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./examples/rnnoise_demo input.pcm output.pcm
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./examples/rnnoise_demo <number of channels> <maximum attenuation> [model to use] < input.raw > output.raw
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The output is also a 16-bit raw PCM file.
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For information on the neural network models available, see
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https://github.com/GregorR/rnnoise-models

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