How does tf.audio.decode_wav get its contents?

Question

I'm trying to pull some audio files into Tensorflow by using tf.audio.decode_wav.

I can see someone is looking into providing more info in the docs, but does anyone have any examples of how this should work?

tf.audio.decode_wav(
 contents,
 desired_channels=-1,
 desired_samples=-1,
 name=None
)

Args:

contents: A Tensor of type string. The WAV-encoded audio, usually from a file.
desired_channels: An optional int. Defaults to -1. Number of sample channels wanted.
desired_samples: An optional int. Defaults to -1. Length of audio requested.
name: A name for the operation (optional).

I'm guessing the contents is a tensor which has already been pulled from a file rather than a path?

score 10 · Accepted Answer · answered Sep 25 '19 at 11:11

10

You're right, tf.audio.decode_wav() requires a tensor. You can provide one with tf.io.read_file() which reads wav file into tensor of type string.

raw_audio = tf.io.read_file(filename)
waveform = tf.audio.decode_wav(raw_audio)

answered Sep 25 '19 at 11:11

Sharky

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BTW, how to get shape of waveform? it seems `get_shape()` simply gives `(None, ch)`. – MeadowMuffins Mar 23 '20 at 02:30
1

Could be done with `tf.enable_eager_execution()`, but is there a way without it? – MeadowMuffins Mar 23 '20 at 02:43

How does tf.audio.decode_wav get its contents?

1 Answers1

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