Audio-Augment
Audio data augmentation tool for machine learning projects
This library augments audio training datasets by transforming provided WAV files in 10 different ways:
- Waveform Inversion
- Highpass Filter
- Lowpass Filter
- Bandpass Filter
- Add noise (normal, uniform)
- Pitch shift (low, high)
- Time shift (slow, fast)
Directory Setup
Create two folders in your current working directory, one called unprocessed and another called processed.
Place all audio samples that you want to transform in the unprocessed folder (must be WAV format).
Run this method and it will transform all audio files in your unprocessed folder,
and save the new set of augmented samples in the processed folder.
Requirements
-
numpy
-
pandas
-
matplotlib
-
soundfile
-
librosa
For questions about this library, email wesleylaurencetech@gmail.com
1 maintainer
Metadata
1 maintainer
Release files for AudioAugment 0.0.3
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Total release size: 16.2 kB
Release files / AudioAugment-0.0.3.tar.gz
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