tf.contrib.ffmpeg.decode_audio

Create an op that decodes the contents of an audio file. (deprecated)

tf.contrib.ffmpeg.decode_audio(
    contents, file_format=None, samples_per_second=None, channel_count=None,
    stream=None
)

Note that ffmpeg is free to select the "best" audio track from an mp4. https://trac.ffmpeg.org/wiki/Map

Args
`contents`	The binary contents of the audio file to decode. This is a scalar.
`file_format`	A string or scalar string tensor specifying which format the contents will conform to. This can be mp3, mp4, ogg, or wav.
`samples_per_second`	The number of samples per second that is assumed, as an `int` or scalar `int32` tensor. In some cases, resampling will occur to generate the correct sample rate.
`channel_count`	The number of channels that should be created from the audio contents, as an `int` or scalar `int32` tensor. If the `contents` have more than this number, then some channels will be merged or dropped. If `contents` has fewer than this, then additional channels will be created from the existing ones.
`stream`	A string specifying which stream from the content file should be decoded, e.g., '0' means the 0-th stream. The default value is '' which leaves the decision to ffmpeg.

Returns
A rank-2 tensor that has time along dimension 0 and channels along dimension 1. Dimension 0 will be `samples_per_second * length_in_seconds` wide, and dimension 1 will be `channel_count` wide. If ffmpeg fails to decode the audio then an empty tensor will be returned.

Args