In this course, we will learn to work specifically with audio data, the form of music most commonly consumed today, using the tools Spotify provides for working with its catalogue.
In the last two decades an important shift has occurred in music research, that is, from music as an art (or art object) to music as a process in which the performer, the listener, and music as sound play a central role. This transformation is most notable in the field of systematic musicology, which developed from “a mere extension of musicology” into a “complete reorientation of the discipline to fundamental questions which are non-historical in nature, [encompassing] research into the nature and properties of music as an acoustical, psychological and cognitive phenomenon” (Duckles & Pasler, 2001; Honing, 2006). These recent strands of music research will be interpreted in the context of the “cognitive revolution” in the humanities and the sciences. Next to an overview of the methods and techniques that became central to the contemporary musicologist’s toolkit, current developments will be discussed that explore what cognitive musicology can say about how music works.
In this course, students will work on an AI-related project in a small group of 3 to 5 students.
Quantitive Methods in Musicology
Perform independent and practice-based research in the fields of historical, cultural, and/or cognitive musicology.