Chord sequence generation with semiotic patterns. Issue 2 (3rd May 2016)

• Record Type: Journal Article
• Authors: Conklin, Darrell
• Is Part Of: Journal of mathematics and music. Volume 10:Issue 2(2016)
• Page Start: 92
• Page End: 106
• Publication Date: 2016-05-03
• Subjects: chord sequences -- harmony -- semiotic analysis -- statistical models -- machine learning -- musicgeneration -- electronic dance music; 00A65 -- 20B35 -- 18B25; applied computing; Music theory -- Periodicals; Music -- Mathematical models -- Periodicals; Music -- Mathematics -- Periodicals; 781.2
• DOI: 10.1080/17459737.2016.1188172
• Languages: English
• ISSNs: 1745-9737

Abstract

Abstract : Chord sequences play a fundamental role in music analysis and generation. This paper considers the task of chord sequence generation for electronic dance music, specifically for pieces in the sub-genre of trance. These pieces contain repetitive harmonic sequences with a specific semiotic structure and coherence. The paper presents a formal representation for the semiotic structure of chord sequences, and describes a method for ranking the instances of a semiotic pattern using a statistical model trained on a corpus. Examples of generated chord sequences for a full trance piece are presented.