메뉴 건너뛰기




Volumn 15, Issue 4, 2006, Pages 673-691

A tool for generating and explaining expressive music performances of monophonic Jazz melodies

Author keywords

Expressive performance; Machine learning

Indexed keywords


EID: 33745776724     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213006002862     Document Type: Article
Times cited : (13)

References (37)
  • 2
    • 0010944615 scopus 로고    scopus 로고
    • Articulation rules for automatic music performance
    • San Francisco, International Computer Music Association
    • Bresin, R. 2002. Articulation Rules for Automatic Music Performance. In Proceedings of the 2001 International Computer Music Conference. San Francisco, International Computer Music Association.
    • (2002) Proceedings of the 2001 International Computer Music Conference
    • Bresin, R.1
  • 3
    • 77950812924 scopus 로고    scopus 로고
    • Analysis and synthesis of expressive intention in a clarinet performance
    • San Francisco, International Computer Music Association
    • Canazza, S.; De Poli, G.; Roda, A.;and Vidolin, A. 1997 Analysis and Synthesis of Expressive Intention in a Clarinet Performance. In Proceedings of the 1997 International Computer Music Conference, 113-120. San Francisco, International Computer Music Association.
    • (1997) Proceedings of the 1997 International Computer Music Conference , pp. 113-120
    • Canazza, S.1    De Poli, G.2    Roda, A.3    Vidolin, A.4
  • 5
    • 84961791960 scopus 로고    scopus 로고
    • Combining instrument and performance models for high-quality music synthesis
    • Dannenberg, R. B., and Derenyi, I. 1998. Combining Instrument and Performance Models for High-Quality Music Synthesis. Journal of New Music Research 27(3): 211-238.
    • (1998) Journal of New Music Research , vol.27 , Issue.3 , pp. 211-238
    • Dannenberg, R.B.1    Derenyi, I.2
  • 6
    • 21244436592 scopus 로고
    • Analysis of rachmaninoff's piano performances using inductive logic programming
    • Springer-Verlag
    • Dovey, M.J. (1995). Analysis of Rachmaninoff's Piano Performances Using Inductive Logic Programming. European Conference on Machine Learning, Springer-Verlag.
    • (1995) European Conference on Machine Learning
    • Dovey, M.J.1
  • 7
    • 85066219105 scopus 로고    scopus 로고
    • Musical punctuation on the microlevel: Automatic identification and performance of small melodic units
    • Friberg, A.; Bresin, R.; Fryden, L.; and Sunberg, J. 1998. Musical Punctuation on the Microlevel: Automatic identification and Performance of Small Melodic Units. Journal of New Music Research 27(3): 217-292.
    • (1998) Journal of New Music Research , vol.27 , Issue.3 , pp. 217-292
    • Friberg, A.1    Bresin, R.2    Fryden, L.3    Sunberg, J.4
  • 8
    • 0010901593 scopus 로고    scopus 로고
    • Music from motion: Sound level envelopes of tones expressing human locomotion
    • Friberg, A.; Bresin, R.; Fryden, L.; 2000. Music from Motion: Sound Level Envelopes of Tones Expressing Human Locomotion. Journal of New Music Research 29(3): 199-210.
    • (2000) Journal of New Music Research , vol.29 , Issue.3 , pp. 199-210
    • Friberg, A.1    Bresin, R.2    Fryden, L.3
  • 9
  • 14
    • 0001845344 scopus 로고
    • An expert system for the articulation of Bach fugue melodies
    • ed. D.L. Baggi, IEEE Computer Society
    • Johnson, M.L. (1992). An expert system for the articulation of Bach fugue melodies. In Readings in Computer-Generated Music, ed. D.L. Baggi, 41-51, IEEE Computer Society.
    • (1992) Readings in Computer-generated Music , pp. 41-51
    • Johnson, M.L.1
  • 17
    • 0005482552 scopus 로고
    • An overview of hierarchical structure in music
    • MIT Press
    • Lerdahl, F. and Jackendoff, R. (1993). An Overview of Hierarchical Structure in Music, Machine Models of Music, MIT Press, 289-312.
    • (1993) Machine Models of Music , pp. 289-312
    • Lerdahl, F.1    Jackendoff, R.2
  • 18
    • 0036748814 scopus 로고    scopus 로고
    • AI and music, from composition to expressive performance
    • Lopez de Mantaras, R. and Arcos, J.L. (2002). AI and music, from composition to expressive performance, AI Magazine, 23-3.
    • (2002) AI Magazine , pp. 23-23
    • Lopez De Mantaras, R.1    Arcos, J.L.2
  • 19
    • 0028210066 scopus 로고
    • Fundamental frequency estimation of musical signals using a, two-way mismatch procedure
    • Maher, R.C. and Beauchamp, J.W. (1994). Fundamental frequency estimation of musical signals using a, two-way mismatch procedure, Journal of the Acoustic Society of America, vol. 95 pp. 2254-2263.
    • (1994) Journal of the Acoustic Society of America , vol.95 , pp. 2254-2263
    • Maher, R.C.1    Beauchamp, J.W.2
  • 20
    • 33746656915 scopus 로고
    • B.Sc. thesis (in slovene), University of Ljubljana
    • Makse T. (1994) An application of ILP in music, B.Sc. thesis (in slovene), University of Ljubljana.
    • (1994) An Application of ILP in Music
    • Makse, T.1
  • 23
    • 0031071024 scopus 로고    scopus 로고
    • PAL: A pattern-based first-order inductive system
    • Morales, E. (1997). PAL: A Pattern-Based First-Order Inductive System. Machine Learning, 26, 227-252.
    • (1997) Machine Learning , vol.26 , pp. 227-252
    • Morales, E.1
  • 29
    • 0026467329 scopus 로고
    • Diversity and commonality in music performance: An analysis of timing microstructure in schumann's 'traumerei'
    • Repp, B.H. (1992). Diversity and Commonality in Music Performance: an Analysis of Timing Microstructure in Schumann's 'Traumerei'. Journal of the Acoustical Society of America 104.
    • (1992) Journal of the Acoustical Society of America , vol.104
    • Repp, B.H.1
  • 30
    • 0642307574 scopus 로고
    • Seashore, C.E. (ed.) University of Iowa, Press
    • Seashore, C.E. (ed.) (1936). Objective Analysis of Music Performance. University of Iowa, Press.
    • (1936) Objective Analysis of Music Performance
  • 34
    • 0038372191 scopus 로고    scopus 로고
    • Machine discoveries: A few simple, robust local expression principles
    • Widmer, G. (2002). Machine Discoveries: A Few Simple, Robust Local Expression Principles. Journal of New Music Research 31(1), 37-50.
    • (2002) Journal of New Music Research , vol.31 , Issue.1 , pp. 37-50
    • Widmer, G.1
  • 35
    • 84949817459 scopus 로고    scopus 로고
    • In search of the horowitz factor: Interim report on a musical discovery project
    • Invited paper. Lbeck, Germany. Berlin: Springer-Verlag
    • Widmer, G. (2002). In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. Invited paper. In Proceedings of the 5th International Conference on Discovery Science (DS'02), Lbeck, Germany. Berlin: Springer-Verlag.
    • (2002) Proceedings of the 5th International Conference on Discovery Science (DS'02)
    • Widmer, G.1
  • 36
    • 21244444804 scopus 로고    scopus 로고
    • Discovering strong principles of expressive music performance with the PLCG rule learning strategy
    • Freiburg, Germany. Berlin: Springer Verlag
    • Widmer, G. (2001). Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy. Proceedings of the 12th European Conference on Machine Learning (ECML'01), Freiburg, Germany. Berlin: Springer Verlag.
    • (2001) Proceedings of the 12th European Conference on Machine Learning (ECML'01)
    • Widmer, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.