Digital Audio Processing Tools for Music Corpus Studies
It provides a resource for music researchers to analyze non-notated music and performances, but is incremental as a survey.
This chapter surveys digital audio processing tools and extraction methods for music corpus studies, summarizing available information from audio and widely used tools like Audacity and Sonic Visualiser.
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.