2016/12/29 by Rouven Bauer, Bauer, Rouven
Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Diverse Musicological Studies #FOS: Computer and information sciences #Music Technology and Sound Studies #Music and Audio Processing #cs.AI
paper · pdf · doi:10.48550/arxiv.1612.09212
arxiv created 2016/12/29 · openalex publication_date 2016/12/29 · arxiv updated 2016/12/30 · openalex created_date 2017/01/06 · openalex updated_date 2026/07/28
In this work we present an algorithm for composing monophonic melodies similar in style to those of a given, phrase annotated, sample of melodies. For implementation, a hybrid approach incorporating parametric Markov models of higher order and a contour concept of phrases is used. This work is based on the master thesis of Thayabaran Kathiresan (2015). An online listening test conducted shows that enhancing a pure Markov model with musically relevant context, like count and planed melody contour, improves the result significantly.