Thesis Topic Details
Topic ID: |
3327 | |
Title: |
Variation in Automated Improvisation | |
Supervisor: |
Mike Bain | |
Research Area: |
Artificial Intelligence, Software Engineering, multimedia | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Malcolm Ryan | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
Programs: |
SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
-- | |
Description: |
Project overview: Musical performance is a challenging area for scientific analysis. So far, little is understood about what makes one performance more 'musical' than another. There has been some initial work on modelling musical style using rule-based and other approaches. Although this is promising, it is time-consuming and there is little or no theoretical foundation. Improvisation, particularly in jazz, has also been the subject of computational modelling, but this also typically suffers from similar limitations. Recently, work on the use in an automated improvisation system of the jazz technique of 'formulaic improvisation' has shown promise. In this approach, the system makes use of lines, pre-composed musical fragments, that are stored in a 'repertoire' and combined together at runtime using a probabilistic model. However, there are a number of limitations in this approach, one of which is that although human players can vary the lines used in formulaic improvisation to adapt them to the piece and the performance, this is not currently implemented in the system. This project will investigate approaches to enable musically-motivated variation methods to be used in the system. Approach: Analysis of the music structure of the piece (chart) and potential musical lines will be necessary. Some way to encode musical 'context' and basic features of the melodic and harmonic content in a probabilistic rule-based or grammar-based form. Evaluation will be in terms of how well the system meets the deign requirements, as well assessment of the outputs in musical terms. Skills: Programming in Java, possibly database design and implementation, simple user interface design and implentation. Knowledge of music, both practise and theory. |
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Comments: |
-- | |
| Past Student Reports | ||
| Nicholas James GRASEVSKI in s2, 2012 Variation in Automated Improvisation |
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