Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/16962
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yong, Deborah Ee San. | - |
dc.date.accessioned | 2009-05-29T02:39:56Z | - |
dc.date.available | 2009-05-29T02:39:56Z | - |
dc.date.copyright | 2009 | en_US |
dc.date.issued | 2009 | - |
dc.identifier.uri | http://hdl.handle.net/10356/16962 | - |
dc.description.abstract | Evolutionary Music is one of the more recent areas in the Evolutionary Computation domain where music is created, arranged or improvised using computers. The goal in evolutionary music research is to create an intelligent system which produces aesthetically pleasing music to the user based the application of evolutionary algorithms such as genetic algorithms and some form of music structure representation. In the previous versions of EVM, more attention has been paid towards music composition. EVM 4.0 will expand on the domain of music evolution where melodies are evolved and evaluated by explicitly defined structural fitness functions as well as user preference input for optimization. The report first introduces the background theory of genetic algorithms and a literature review on the different features of a melody which can be used for music analysis. Subsequently, the report will cover details on the design and implementation of the system. Next, would be an analysis on the strengths and weakness of the implemented system. Finally, the report concludes with suggestions for future exploration and enhancement. | en_US |
dc.format.extent | 60 p. | en_US |
dc.language.iso | en | en_US |
dc.rights | Nanyang Technological University | - |
dc.subject | DRNTU::Engineering::Computer science and engineering::Computer applications::Computers in other systems | en_US |
dc.subject | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence | - |
dc.title | Evolutionary music | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Ong Yew Soon | en_US |
dc.contributor.school | School of Computer Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Computer Science) | en_US |
dc.contributor.research | Emerging Research Lab | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Yong Ee San 09.pdf Restricted Access | 887.63 kB | Adobe PDF | View/Open |
Page view(s) 50
576
Updated on Mar 28, 2024
Download(s) 50
17
Updated on Mar 28, 2024
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.