A Multi-objective Optimization Model for Music Styles
Author:
Affiliation:
1. University of Salerno, Dipartimento di Informatica
Publisher
ACM Press
Reference22 articles.
1. R. De Prisco, D. Malandrino, G. Zaccagnino, R. Zaccagnino e R. Zizza, «A Kind of Bio-inspired Learning of mUsic stylE.,» in 6th International Conference on Computational Intelligence in Music, Sound, Art and Design, 2017.
2. B. Whitman, G. Flake e S. Lawrence, «Artist detection in music with minnowmatch,» in Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop, 2001.
3. H. Soltau, T. Schultz e M. Westphal, «Recognition of Music Types,» in In Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, 1998.
4. K. Ebcioglu, «An Expert System for Harmonizing Four-part Chorales,» in Machine Models of Music, Schwanauer, Stephan M. and Levitt, David A., 1992, pp. 385--401.
5. D. Gang, D. Lehmann e N. Wagner, «Harmonizing Melodies in Real-Time: the Connectionist Approach,» in IN PROCEEDINGS OF THE INTERNATIONAL COMPUTER MUSIC ASSOCIATION, 1997.
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