athena.transform.feats.read_wav

The model reads audio sample from wav file.

Module Contents

Classes

ReadWav

Read audio sample from wav file, return sample data and sample rate. The operation

Functions

read_wav(wavfile[, audio_channels])

Read wav from file. Can be called directly without ReadWav class.
class athena.transform.feats.read_wav.ReadWav(config: dict)

Bases: athena.transform.feats.base_frontend.BaseFrontend

Read audio sample from wav file, return sample data and sample rate. The operation is based on tensorflow.audio.decode_wav.

Parameters

config – a dictionary contains optional parameters of read wav.

Examples

>>> config = {'audio_channels': 1}
>>> read_wav_op = ReadWav.params(config).instantiate()
>>> audio_data, sample_rate = read_wav_op('test.wav')

Note: The range of audio data are -32768 to 32767 (for 16 bits), not -1 to 1.

classmethod params(config=None)

Set params.

Parameters

  • config – contains the following two optional parameters

  • 'type' – ‘ReadWav’.

  • 'audio_channels' – index of the desired channel. (default=1)

Note

Return an object of class HParams, which is a set of hyperparameters as name-value pairs.

call(wavfile, speed=1.0)

Get audio data and sample rate from a wavfile.

Parameters

  • wavfile – filepath of wav.

  • speed – Speed of sample channels wanted. (default=1.0)

Shape:

Note: Return audio data and sample rate.

  • audio_data: \((L)\) with tf.float32 dtype

  • sample_rate: tf.int32

athena.transform.feats.read_wav.read_wav(wavfile, audio_channels=1)

Read wav from file. Can be called directly without ReadWav class.

Examples::
>>> audio_data, sample_rate = read_wav('test.wav', audio_channels=1)