Presentation	2002/6/18 An Application of Genetic Algorithms to Automated Guitar Tablatures Generation Naofumi AOKI,
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Abstract(in English)	Pitch ranges of the strings in the guitar overlap each other so that a note can be played at several positions on the fingerboard. Tablature, a musical notation for the guitar, is therefore considered to be effective for assisting beginners to play the guitar, since playable positions are explicitly shown in the tablature unlike in the common musical notation. This study proposes an automated method of generating tablatures from common musical scores. It employs an optimization technique based on genetic algorithms. The effectiveness of the proposed method was investigated thorough some experiments on several pieces of the classical guitar.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	guitar / common musical score / tablature / genetic algorithms
Paper #	NLP2002-26
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Conference Information
Committee	NLP
Conference Date	2002/6/18(1days)
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Paper Information
Registration To	Nonlinear Problems (NLP)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	An Application of Genetic Algorithms to Automated Guitar Tablatures Generation
Sub Title (in English)
Keyword(1)	guitar
Keyword(2)	common musical score
Keyword(3)	tablature
Keyword(4)	genetic algorithms
1st Author's Name	Naofumi AOKI
1st Author's Affiliation	Graduate School of Engineering, Hokkaido University()
Date	2002/6/18
Paper #	NLP2002-26
Volume (vol)	vol.102
Number (no)	142
Page	pp.pp.-
#Pages	6
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