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authorGregor Richards <hg-yff@gregor.im>2018-09-20 21:58:31 -0400
committerJean-Marc Valin <jmvalin@jmvalin.ca>2019-05-29 00:37:07 -0400
commit02105923baab17a00f68ee5b5ca069c84edacc91 (patch)
tree8981171320213e67d3f66253a6febcd52c3dc271
parent5e7af83876dd413e16e702269a90b4692299a720 (diff)
downloadrnnoise-02105923baab17a00f68ee5b5ca069c84edacc91.tar.gz
Updated README
-rw-r--r--README4
1 files changed, 2 insertions, 2 deletions
diff --git a/README b/README
index 27b18fa..88fc79c 100644
--- a/README
+++ b/README
@@ -1,4 +1,4 @@
-RNNoise is a noise suppression library based on a recurrent neural network
+RNNoise is a noise suppression library based on a recurrent neural network.
To compile, just type:
% ./autogen.sh
@@ -12,6 +12,6 @@ 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 input.pcm output.pcm
+./examples/rnnoise_demo <number of channels> <maximum attenuation> < input.raw > output.raw
The output is also a 16-bit raw PCM file.