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NTIS 바로가기Computer, v.36 no.10, 2003년, pp.73 - 80
Dubnov, S. (Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel) , Assayag, G. , Lartillot, O. , Bejerano, G.
The ability to construct a musical theory from examples presents a great intellectual challenge that, if successfully met, could foster a range of new creative applications. Inspired by this challenge, we sought to apply machine-learning methods to the problem of musical style modeling. Our work so far has produced examples of musical generation and applications to a computer-aided composition system. Machine learning consists of deriving a mathematical model, such as a set of stochastic rules, from a set of musical examples. The act of musical composition involves a highly structured mental process. Although it is complex and difficult to formalize, it is clearly far from being a random activity. Our research seeks to capture some of the regularity apparent in the composition process by using statistical and information theoretic tools to analyze musical pieces. The resulting models can be used for inference and prediction and, to a certain extent, to generate new works that imitate the style of the great masters.
Zicarelli, David. M and Jam Factory. Computer music journal, vol.11, no.4, 13-.
Proc ICMAI 2002 interacting with a musical learning system: the continuator pachet 2002 119
Bejerano, Gill, Yona, Golan. Variations on probabilistic suffix trees: statistical modeling and prediction of protein families. Bioinformatics, vol.17, no.1, 23-43.
Assayag, Gérard, Rueda, Camilo, Laurson, Mikael, Agon, Carlos, Delerue, Olivier. Computer-Assisted Composition at IRCAM: From PatchWork to OpenMusic. Computer music journal, vol.23, no.3, 59-72.
Feder, M., Merhav, N., Gutman, M.. Universal prediction of individual sequences. IEEE transactions on information theory, vol.38, no.4, 1258-1270.
Ron, Dana, Singer, Yoram, Tishby, Naftali. The power of amnesia: Learning probabilistic automata with variable memory length. Machine learning, vol.25, no.2, 117-149.
Ziv, J., Lempel, A.. Compression of individual sequences via variable-rate coding. IEEE transactions on information theory, vol.24, no.5, 530-536.
Computers and Musical Style cope 1991
Conklin, Darrell, Witten, Ian H.. Multiple viewpoint systems for music prediction. Journal of new music research, vol.24, no.1, 51-73.
Brooks, F. P., Hopkins, A. L., Neumann, P. G., Wright, W. V.. An experiment in musical composition. IRE transactions on electronic computers, vol.ec6, no.3, 175-182.
Computer Studies in the Humanities a melody writing algorithm using a formal language model lidov 1973 4 134
An Expert System for Harmonization of Chorals in the Style of J S Bach ebcioglu 1986
Proc Int l Computer Music Conf universal classification applied to musical sequences dubnov 1998 332
Proc Int l Computer Music Conf guessing the composer's mind: applying universal prediction to musical style assayag 1999 496
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