DocumentCode :
16400
Title :
AutoGuitarTab: Computer-Aided Composition of Rhythm and Lead Guitar Parts in the Tablature Space
Author :
McVicar, Matt ; Fukayama, Satoru ; Goto, Masataka
Author_Institution :
Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba, Japan
Volume :
23
Issue :
7
fYear :
2015
fDate :
Jul-15
Firstpage :
1105
Lastpage :
1117
Abstract :
We present AutoGuitarTab, a system for generating realistic guitar tablature given an input symbolic chord and key sequence. Our system consists of two modules: AutoRhythmGuitar and AutoLeadGuitar. The first of these generates rhythm guitar tablatures which outline the input chord sequence in a particular style (using Markov chains to ensure playability) and performs a structural analysis to produce a structurally consistent composition. AutoLeadGuitar generates lead guitar parts in distinct musical phrases, guiding the pitch classes towards chord tones and steering the evolution of the rhythmic and melodic intensity according to user preference. Experimentally, we uncover musician-specific trends in guitar playing style, and demonstrate our system´s ability to produce playable, realistic and style-specific tablature using a combination of algorithmic, user-surveyed and expert evaluation techniques.
Keywords :
computer aided analysis; music; musical instruments; AutoGuitarTab; Markov chains; auto lead guitar; auto rhythm guitar; chord tones; computer-aided composition; expert evaluation techniques; input chord sequence; input symbolic chord; key sequence; lead guitar parts; melodic intensity; musical phrases; pitch classes; realistic guitar tablature; rhythm guitar parts; rhythm guitar tablatures; rhythmic evolution; structural analysis; tablature space; user preference; Algorithm design and analysis; IEEE transactions; Instruments; Lead; Markov processes; Rhythm; Speech; Algorithmic composition; computer-aided composition (CAC); symbolic music processing;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
2329-9290
Type :
jour
DOI :
10.1109/TASLP.2015.2419976
Filename :
7080942
Link To Document :
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