This paper describes a system for automatically characterising musical style using motifs. Motifs are patterns of rhythms or pitches common to more than one piece of music in a style. The Style Analysis with Motifs (SAM) system uses an original classification technique and is able to learn to distinguish between different styles with a success rate of over 95%. It is suggested that since motifs can be used to automatically discriminate between different styles effectively, they may be very important in the way humans achieve the task.
|Title of host publication||Music Education: An Artificial Intelligence Approach|
|Subtitle of host publication||Proceedings of a Workshop held as part of AI-ED 93, World Conference on Artificial Intelligence in Education, Edinburgh, Scotland, 25 August 1993|
|Number of pages||14|
|Publication status||Published - 1994|