Abstract
We present PyMAiVAR, a versatile toolbox that encompasses the generation of image representations for audio data including Wave plots, Spectral Centroids, Spectral Roll Offs, Mel Frequency Cepstral Coefficients (MFCC), MFCC Feature Scaling, and Chromagrams. This wide-ranging toolkit generates rich audio-image representations, playing a pivotal role in reshaping human action recognition. By fully exploiting audio data's latent potential, PyMAiVAR stands as a significant advancement in the field. The package is implemented in Python and can be used across different operating systems.
RAS ID
58302
Document Type
Journal Article
Date of Publication
9-1-2023
Volume
17
Funding Information
Edith Cowan University / Australia and Higher Education Comission (HEC) of Pakistan / Australian Government
School
School of Science / School of Engineering
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Publisher
Elsevier
Comments
Shaikh, M. B., Chai, D., Islam, S. M. S., & Akhtar, N. (2023). PyMAiVAR: An open-source Python suit for audio-image representation in human action recognition. Software Impacts, 17, article 100544. https://doi.org/10.1016/j.simpa.2023.100544