Digital Humanities and Cultural Analytics

In the present study, we adapt and apply numerical methods from computational literary studies and natural language processing, such as text classification and topic modeling, to the Thesaurus Musicarum Italicarum, a corpus of more than thirty Renaissance and Baroque Italian music theory treatises. We discuss the extent to which distant and close reading are mutually beneficial by critically evaluating the results of our analyses.

This paper presents a web application for visualizing the tonality of a piece of music—the organization of its chords and scales—at a high level of abstraction and with coordinated playback.

What can we infer about tonality from distributions of notes in musical pieces?