Division of Informatics
Forrest Hill & 80 South Bridge
MSc Thesis #9748 | |
|---|---|
| Title: | Statistical Music Modelling |
| Authors: | Ponsford,D |
| Date: | Sep 1997 |
| Presented: | |
| Keywords: | |
| Abstract: | This project models music using statistical techniques. Ideas are borrowed from statistical natural language processing. Trigram probabilities are estimated on a corpus of seventeenth-century dance music. The probabilities are then used for experiments in evaluation (assigning probabilities to pieces) and generation (composition). The corpus is preprocessed in a novel way by converting the harmonies into a normal form to capture the underlying harmonic similarities between pieces. It is then automatically marked up with constituent boundaries (beginnings and ends of pieces, phrases and bars), to enable the trigram learning process to capture some of the structure of the music. |
| Download: | NO ONLINE COPY |
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