Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation

12/11/2019
by   Gianluca Maguolo, et al.
0

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

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 3

page 4

page 5

12/16/2019

Data augmentation approaches for improving animal audio classification

In this paper we present ensembles of classifiers for automated animal a...
06/15/2019

Audio-Based Music Classification with DenseNet And Data Augmentation

In recent years, deep learning technique has received intense attention ...
01/17/2022

AugLy: Data Augmentations for Robustness

We introduce AugLy, a data augmentation library with a focus on adversar...
08/17/2020

StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation

In this paper we introduce StoRIR - a stochastic room impulse response g...
04/13/2020

Data augmentation using generative networks to identify dementia

Data limitation is one of the most common issues in training machine lea...
08/10/2021

An empirical investigation into audio pipeline approaches for classifying bird species

This paper is an investigation into aspects of an audio classification p...
08/11/2020

Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms

In many fields of research, labeled datasets are hard to acquire. This i...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.