Year: 2004
Type: article
Abstract: We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a harmonisation system which learns from examples, and which can compose new harmonisations. We make a quantitative comparison of our system’s harmonisation performance against simpler models, and provide example harmonisations. 1
Authors: Moray Allan, Christopher K. I. Williams
Institution: University of Edinburgh
Language: English
Subfield: Music
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
Funder: Microsoft Research
OpenAlex ID: W2161850243