NDLI: Towards an Evolution Model of Expressive Music Performance

Content Provider	IEEE Xplore Digital Library
Author	Qijun Zhang Miranda, E.R.
Copyright Year	2006
Description	Author affiliation: Interdisciplinary Centre of Comput. Music Res., Plymouth Univ. (Qijun Zhang; Miranda, E.R.)
Abstract	This paper presents the design of representing the performance profile with hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices), and then applying genetic algorithm (GA) to evolve the hierarchical pulse sets for music interpretation, where the fitness of GA is derived from the structure of the music to be performed. In our previous work (2006), we have shown that GA can evolve suitable pulse sets for musical performance. Also, commonality and diversity are found among the performance profiles decided by those evolved pulse sets. This paper reports the experiment results from an improved system where a new version of fitness rules has been devised. On basis of this system, we are proposing the next steps for the research, that is, to build a dynamic model that evolves expressive music performance through agent performers' interactions
Starting Page	1189
Ending Page	1194
File Size	457273
Page Count	6
File Format	PDF
ISBN	0769525288
DOI	10.1109/ISDA.2006.253781
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Space vector pulse width modulation Pulse measurements Genetic Algorithm expressive music performance Social factors musical structure pulse set Genetic algorithms Physics computing Fingers Music Computer performance Pressure measurement Performance analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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