Digital Audio Processing Tools for Music Corpus Studies
Abstract
Digital audio processing tools offer music researchers the opportunity to examine both non-notated music and music as performance. This chapter summarises the types of information that can be extracted from audio as well as currently available audio tools for music corpus studies. The survey of extraction methods includes both a primer on signal processing and background theory on audio feature extraction. The survey of audio tools focuses on widely used tools, including both those with a graphical user interface, namely Audacity and Sonic Visualiser, and code-based tools written in the C/C++, Java, MATLAB, and Python computer programming languages.
Cite
@article{arxiv.2111.03895,
title = {Digital Audio Processing Tools for Music Corpus Studies},
author = {Johanna Devaney},
journal= {arXiv preprint arXiv:2111.03895},
year = {2021}
}
Comments
Preprint of book chapter: Devaney, J. (In Press). Audio processing tools for music corpus studies. In D. Shanahan, A. Burgoyne, & I. Quinn (Eds.), Oxford Handbook of Music and Corpus Studies. New York: Oxford University Press. The manuscript contains 6 figures and 3 tables