Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation

Audio data augmentation is a key step in training deep neural networks for solving audio classification tasks. In this paper, we introduce Audiogmenter, a novel audio data augmentation library in MATLAB. We provide 15 different augmentation algorithms for raw audio data and 8 for spectrograms. We integrate the MATLAB built-in audio data augmenter with other methods that proved their effectiveness in literature. To the best of our knowledge, this is the largest MATLAB audio data augmentation library freely available. The toolbox and its documentation can be downloaded at https://github.com/LorisNanni/Audiogmenter