Audiogmenter: a MATLAB toolbox for audio data augmentation

IF 12.3 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Applied Computing and Informatics Pub Date : 2021-09-22 DOI:10.1108/aci-03-2021-0064

Gianluca Maguolo, M. Paci, L. Nanni, Lu Bonan

引用次数: 12

Abstract

PurposeCreate and share a MATLAB library that performs data augmentation algorithms for audio data. This study aims to help machine learning researchers to improve their models using the algorithms proposed by the authors.Design/methodology/approachThe authors structured our library into methods to augment raw audio data and spectrograms. In the paper, the authors describe the structure of the library and give a brief explanation of how every function works. The authors then perform experiments to show that the library is effective.FindingsThe authors prove that the library is efficient using a competitive dataset. The authors try multiple data augmentation approaches proposed by them and show that they improve the performance.Originality/valueA MATLAB library specifically designed for data augmentation was not available before. The authors are the first to provide an efficient and parallel implementation of a large number of algorithms.

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Audiogmenter:一个用于音频数据增强的MATLAB工具箱

生成并共享一个MATLAB库，用于对音频数据执行数据增强算法。本研究旨在帮助机器学习研究人员使用作者提出的算法改进他们的模型。设计/方法/方法作者将我们的库结构为增加原始音频数据和频谱图的方法。在本文中，作者描述了库的结构，并简要解释了每个函数的工作原理。然后，作者进行了实验，证明该库是有效的。作者证明了该库使用竞争性数据集是有效的。作者尝试了他们提出的多种数据增强方法，并表明它们提高了性能。原创性/价值以前没有专门为数据增强设计的MATLAB库。作者是第一个提供大量算法的高效并行实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Computing and Informatics Computer Science-Information Systems

CiteScore

12.20

自引率

0.00%

发文量

审稿时长

39 weeks

期刊介绍： Applied Computing and Informatics aims to be timely in disseminating leading-edge knowledge to researchers, practitioners and academics whose interest is in the latest developments in applied computing and information systems concepts, strategies, practices, tools and technologies. In particular, the journal encourages research studies that have significant contributions to make to the continuous development and improvement of IT practices in the Kingdom of Saudi Arabia and other countries. By doing so, the journal attempts to bridge the gap between the academic and industrial community, and therefore, welcomes theoretically grounded, methodologically sound research studies that address various IT-related problems and innovations of an applied nature. The journal will serve as a forum for practitioners, researchers, managers and IT policy makers to share their knowledge and experience in the design, development, implementation, management and evaluation of various IT applications. Contributions may deal with, but are not limited to: • Internet and E-Commerce Architecture, Infrastructure, Models, Deployment Strategies and Methodologies. • E-Business and E-Government Adoption. • Mobile Commerce and their Applications. • Applied Telecommunication Networks. • Software Engineering Approaches, Methodologies, Techniques, and Tools. • Applied Data Mining and Warehousing. • Information Strategic Planning and Recourse Management. • Applied Wireless Computing. • Enterprise Resource Planning Systems. • IT Education. • Societal, Cultural, and Ethical Issues of IT. • Policy, Legal and Global Issues of IT. • Enterprise Database Technology.