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# FFmpeg (contrib)
[TOC]
## Encoding and decoding audio using FFmpeg
TensorFlow provides Ops to decode and encode audio files using the
[FFmpeg](https://www.ffmpeg.org/) library. FFmpeg must be
locally [installed](https://ffmpeg.org/download.html) for these Ops to succeed.
Example:
```python
from tensorflow.contrib import ffmpeg
audio_binary = tf.read_file('song.mp3')
waveform = ffmpeg.decode_audio(
audio_binary, file_format='mp3', samples_per_second=44100, channel_count=2)
uncompressed_binary = ffmpeg.encode_audio(
waveform, file_format='wav', samples_per_second=44100)
```
* `tf.contrib.ffmpeg.decode_audio`
* `tf.contrib.ffmpeg.encode_audio`
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