Milking the Modes: Audio analysis of renaissance polyphony

Research output: Contribution to conferenceAbstractAcademic

Abstract

In Measuring Musics (2024), Bas Cornelissen classifies gregorian chant from the Cantus database into modes using pitch profiles with good results (F1-scores between .88 and .90). This method is based on monophonic encoded music.

Is it possible to use this approach to predict the mode of recordings of modal polyphony?

Modal cycles are an excellent genre to answer this question. A modal cycle is a collection of compositions, ordered by an accepted sequence of the modes, compiled by the composer or by someone else, such as an editor or printer. In this talk we explore a set more than 1000 recordings of about 80 modal cycles collected in Wiering, Language of the Modes (2001).
We will use this collection to investigate whether pitch (class) profiles extracted from recorded polyphony can be employed to detect the mode of a composition. We will especially zoom in on the difference between pitch profiles and pitch class profile on the one hand and between mode and mode family on the other.
Original languageEnglish
Pages1-21
Number of pages21
Publication statusPublished - 18 Oct 2024
EventSecond international conference on computational and cognitive musicology - Utrecht University, Utrecht, Netherlands
Duration: 17 Oct 202418 Oct 2024
Conference number: 2
https://www.uu.nl/en/research/interaction/second-international-conference-on-computational-and-cognitive-musicology

Conference

ConferenceSecond international conference on computational and cognitive musicology
Abbreviated titleCCCM2024
Country/TerritoryNetherlands
CityUtrecht
Period17/10/2418/10/24
Internet address

Keywords

  • Renaissance Music
  • modality
  • tonality
  • clustering
  • corpus study
  • corpus analysis

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