TensorFlow provides Ops to decode and encode audio files using the FFmpeg library. FFmpeg must be locally installed for these Ops to succeed.
Example:
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)
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_guides/python/contrib.ffmpeg