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Volumn , Issue , 2007, Pages 57-64

A hybrid system for automatic generation of style-specific accompaniment

Author keywords

Automatic style specific accompaniment; Chord tone determination; Markov chains; Neo riemannian transforms

Indexed keywords

ALTERNATE PATH; AUTOMATIC GENERATION; AUTOMATIC STYLE-SPECIFIC ACCOMPANIMENT; CHORD TONE DETERMINATION; CREATIVE PROCESS; PHRASE STRUCTURE; ROCK BANDS; TREE STRUCTURES;

EID: 84855608563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (56)

References (9)
  • 2
    • 70450073941 scopus 로고    scopus 로고
    • Neo-riemannian theory and the analysis of pop-rock music
    • Capuzzo, G. (2004). Neo-riemannian theory and the analysis of pop-rock music. Music Theory Spectrum, 26(2):177-199.
    • (2004) Music Theory Spectrum , vol.26 , Issue.2 , pp. 177-199
    • Capuzzo, G.1
  • 4
    • 23944485445 scopus 로고    scopus 로고
    • Separating voices in polyphonic music: A contig mapping approach
    • Wiil, U. K., editor Esbjerg, Denmark, May 26-29, 2004, Revised Papers of Lecture Notes in Computer Science Springer-Verlag, Berlin, Germany
    • Chew, E. and Wu, X. (2005). Separating voices in polyphonic music: A contig mapping approach. In Wiil, U. K., editor, Computer Music Modeling and Retrieval: Second International Symposium, CMMR 2004, Esbjerg, Denmark, May 26-29, 2004, Revised Papers, volume 3310 of Lecture Notes in Computer Science, pages 1-20. Springer-Verlag, Berlin, Germany.
    • (2005) Computer Music Modeling and Retrieval: Second International Symposium, CMMR 2004 , vol.3310 , pp. 1-20
    • Chew, E.1    Wu, X.2
  • 5
    • 61249269133 scopus 로고    scopus 로고
    • PhD thesis, State University of New York at Buffalo, Buffalo, New York
    • Kochavi, J. (2002). Contextually Defined Musical Transformations. PhD thesis, State University of New York at Buffalo, Buffalo, New York.
    • (2002) Contextually Defined Musical Transformations
    • Kochavi, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.