Division of Informatics
Forrest Hill & 80 South Bridge
Research Paper #668 | |
|---|---|
| Title: | Automatic Characterisation of Musical Style |
| Authors: | Westhead,M; Smaill,AD |
| Date: | Nov 1993 |
| Presented: | To appear in Music Education: an ARtificial Intelligence Approach, Springer, 1993 (ed. M. Smith et al.) |
| Keywords: | |
| Abstract: | 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. |
| Download: | NO ONLINE COPY |
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