arXiv Open Access 2021

Digital Audio Processing Tools for Music Corpus Studies

Johanna Devaney

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Abstrak

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.

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cs.SD eess.AS

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Johanna Devaney

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Devaney, J. (2021). Digital Audio Processing Tools for Music Corpus Studies. https://arxiv.org/abs/2111.03895

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Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓