Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation
Audio and Speech Processing
2022-01-04 v4 Machine Learning
Sound
Abstract
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 efficiently implemented several augmentation techniques whose usefulness has been extensively proved in the literature. To the best of our knowledge, this is the largest MATLAB audio data augmentation library freely available. We validate the efficiency of our algorithms evaluating them on the ESC-50 dataset. The toolbox and its documentation can be downloaded at https://github.com/LorisNanni/Audiogmenter.
Keywords
Cite
@article{arxiv.1912.05472,
title = {Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation},
author = {Gianluca Maguolo and Michelangelo Paci and Loris Nanni and Ludovico Bonan},
journal= {arXiv preprint arXiv:1912.05472},
year = {2022}
}