TL;DR
Audiogmenter is a comprehensive MATLAB toolbox offering 23 audio augmentation algorithms, validated on ESC-50, to enhance deep learning training for audio classification tasks.
Contribution
It introduces the largest free MATLAB audio augmentation library with 15 algorithms for raw audio and 8 for spectrograms, validated on a standard dataset.
Findings
Validated on ESC-50 dataset showing effectiveness
Largest free MATLAB audio augmentation library
Includes extensively proved augmentation techniques
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.
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