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Informational database on selected music works

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
Databases for Science INFOBAZY 1999: 2nd National Conference (30 August - 1 September 1999, Gdańsk, Poland)
Języki publikacji
EN
Abstrakty
EN
Basing on the review of available literature devoted to applications of programming tools in research on mechanism of music perception, the first results of my own research devoted to mining of hidden regularities in pieces of various types of music is presented. General characteristics of the developed databases, methodology of executed research, and discussion of the discovered knowledge structures for selected types of music pieces are briefly dealt with.
Słowa kluczowe
Rocznik
Strony
83--90
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
  • Pedagogical University, Dekerta 2, 35-030 Rzeszów, Poland
Bibliografia
  • [1] Misky M., Music, Mind, and Meaning, Computer Music J. 5 (1981) 1-16
  • [2] Sloboda J., The Musical Mind: The Cogniive Psychology of Music, Clarendan Press, Oxford 1985
  • [3] Butler D., The Musician s Guide to Perception and Cognition, Shirmer, New York 1992
  • [4] McAdams S., Audition: Cognitive Psychology of Music, in: Linas R. and Churchland P. (Eds.), The Mind-Brain Continuum, MIT Press, Cambridge (MA) 1996,251-279
  • [5] Desain P., A (de)composable Theory of Rythm Perception, Computers in Music Res. 9 (1992-1994)439-454
  • [6] Desain P. and Honing H., Music, Mind, Machine. Computational Modelling of Temporal Structure in Musical Knowledge and Music Cognition, Internet Document
  • [7] Roland P.Y. and Ganascia J.P., Musical Pattern Extraction and Similarity Assessment, Internet Document
  • [8] Risset J.C., ACROEProgramme, Proc. H"1 Intern. Joint Conference on Artificial Intelligence, Chambery 28 July-3 September 1993,26-27
  • [9] Widmer G., Application of Machine Learning to Music Research: Empirical Investigation into the Phenomenon of Musical Expression, in: Michalski R.S., Bratko I. and Kubat M. (Eds.), Machine Learning and Data Mining. Methods and Applications, J. Wiley & Sons, Ltd., New York 1998,269-295
  • [10] Hlawiczka K. (Ed.), From Polish Polonaises, vol 1,PWM, Cracow 1975 (in Polish)
  • [11] Lachowska S. (Ed.), From Polish Polonaises, vol 2, PWM, Cracowl975 (in Polish)
  • [12] Hapgood W., Is' Class Instruction Manual, Programs in Motion Inc., Wayland (MA) 1989
  • [13] Grzymata-Busse J.W. and Wang C.P.B., Classification Method in Rule Induction, in: Klopotek M.A., Michalewicz M. and Ras Z.B. (Eds.), Intelligent Information Systems, Edit. Office IPIPAN, Warsaw 1996,120-126
  • [14] Pawlak Z., Knowledge and Rough Sets, in: Traczyk W. (Ed.), Problems of Artificial Intelligence, Wiedza i Zycie Publishers, Warsaw 1995,9-21 (in Polish)
  • [15] Hippe Z.S., New Method of Expert Systems Design: Concept and Implementation, in: Bubnicki Z. and Grzech A. (Eds.), Knowledge Engineering and Expert Systems, Editorial Office Wroclaw University of Technology, Wroclaw 1997,13-20 (in Polish)
  • [16] Mazur M., Virtual Visualization Tool, in: New Algorithms and Methods of Domain- oriented Knowledge Representation and Processing, State Committee for Scientific Research, Res. ReprotNo. 8T11C 004 09, Rzeszow 1999 (in Polish)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0016-0064
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