tf.audio.decode_wav
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Decode a 16-bit PCM WAV file to a float tensor.
tf.audio.decode_wav(
contents, desired_channels=-1, desired_samples=-1, name=None
)
The -32768 to 32767 signed 16-bit values will be scaled to -1.0 to 1.0 in float.
When desired_channels is set, if the input contains fewer channels than this
then the last channel will be duplicated to give the requested number, else if
the input has more channels than requested then the additional channels will be
ignored.
If desired_samples is set, then the audio will be cropped or padded with zeroes
to the requested length.
The first output contains a Tensor with the content of the audio samples. The
lowest dimension will be the number of channels, and the second will be the
number of samples. For example, a ten-sample-long stereo WAV file should give an
output shape of [10, 2].
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).
|
Returns |
|---|
A tuple of Tensor objects (audio, sample_rate).
|
audio
|
A Tensor of type float32.
|
sample_rate
|
A Tensor of type int32.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2022-10-27 UTC.
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