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pydiogment.auga#

Description: amplitude based augmentation techniques/manipulations for audio data.

pydiogment.auga.add_noise(infile, snr)[source]#

Augment data using noise injection.

Note

It simply add some random values to the input file data based on the snr.

Parameters

infile (str) – input filename/path.
snr (int) – signal to noise ratio in dB.

pydiogment.auga.apply_gain(infile, gain)[source]#

Apply gain to infile.

Parameters

infile (str) – input filename/path.
gain (float) – gain in dB (both positive and negative).

pydiogment.auga.fade_in_and_out(infile)[source]#

Add a fade in and out effect to the audio file.

Parameters: infile (str) – input filename/path.

pydiogment.auga.normalize(infile, normalization_technique='peak', rms_level=0)[source]#

Normalize the signal given a certain technique (peak or rms).

Parameters

infile (str) – input filename/path.
normalization_technique (str) – type of normalization technique to use. (default is peak)
rms_level (int) – rms level in dB.

📄 API Documentation

pydiogment.augf