Music compositional intelligence with an affective flavor

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2007, Pages 216-224

  Legaspi, Roberto ^a   Hashimoto, Yuya ^a   Moriyama, Koichi ^a   Kurihara, Satoshi ^a   Numao, Masayuki ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

Adaptive user interface; Affective computing; Automated reasoning; User modeling

Indexed keywords

COMPUTATIONAL METHODS; DATA ACQUISITION; GENETIC ALGORITHMS; INTELLIGENT SYSTEMS; MATHEMATICAL MODELS;

ADAPTIVE USER INTERFACE; AFFECTIVE COMPUTING; AUTOMATED REASONING;

COMPUTER MUSIC;

EID: 34648837228     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1216295.1216335     Document Type: Conference Paper

References (23)

1. Biles, J. A. Gen Jam: A genetic algorithm for generating jazz solos. In Proceedings of ICMC '94 (Sept. 12-17, Aarhus, Denmark), DIEM, 1994, pp. 131-137.
2. Bresin, R. and Friberg. A. Emotional coloring of computer-controlled music performance. Computer Music Journal 24, 4 (Winter, 2000), 44-62.
3. Diettrich, T.G., Lathrop, R.H. and Lozano-Perez, T. Solving the multiple instance problem with axisparallel rectangles. Artificial Intelligence 89, 1-2 (January, 1997), 31-71.
4. Johanson, B.E. and Poli, R. GP-Music: An interactive genetic programming system for music generation with automated fitness raters. Technical Report CSRP-98-13, School of Computer Science, The University of Birmingham, 1998.
5. th FLAIRS Conference - Special Track on AI and Music (May 17-19, Florida, USA), AAAI Press, 2004.
6. Langley, P. Machine learning for adaptive user interfaces. In Proceedings of KI '97 (September 9-12, Freiburg, Germany), 1997, pp. 53-62.
7. th ISMIR (October 26-30, Washington, D.C.), 2003, pp. 239-240.
8. Lopez de Mantaras, R. and Arcos, J.L. AI and music: From composition to expressive performances. AI Magazine 23, 3 (Fall 2002), 43-57.
9. st ICML (July 4-8, Banff, Alberta, Canada), 2004, pp. 77-85.
10. Numao, M., Kobayashi, M. and Sakaniwa, K. Acquisition of human feelings in music arrangement. In Proceedings of IJCAI '97 (August 23-29, Nagoya, Aichi, Japan), 1997, pp. 268-273.
11. Numao, M., Takagi, S. and Nakamura, K. Constructive adaptive user interfaces - Composing music based on human feelings. In Proceedings of AAAI '02 (July 28-August 1, Alberta, Canada), AAAI Press, 2002, pp. 193-198.
12. Oded, M. and Lozano-Perez, T. A framework for multiple-instance learning. In Jordan, M.I., Kearns, M.J. and Solla, S.A., Eds. Advances in Neural Information Processing Systems 10 (June, 1998), 570-576.
13. Osgood, C.E., Suci, G. and Tannenbaum, P.H. The Measurement of Meaning. University of Illinois Press, Urbana, 1957.
14. Quinlan, J.R. and Camaron-Jones, R.M. Induction of logic programs: FOIL and related systems. New Generation Computing, 13, 3-4 (1995), 287-312.
15. Robertson, J., de Quincey, A., Stapleford, T. and Wiggins, G. Real-time music generation for a virtual environment. In Proceedings of ECAI '98 - Workshop on AI/ALife and Entertainment (August 24, Brighton), 1998.
16. Riecken, D. Wolfgang: "Emotions" plus goals enable learning. In Proceedings of IEEE SMC '98 (October, CA, USA), 1998, pp. 1119-1120.
17. Thom, B. Interactive improvisational music companionship: A user-modeling approach. User Modeling and User-Adapted Interaction 13 (2003), Kluwer Academic Publishers, The Netherlands, 133-177.
18. Tobudic, A. and Widmer, G. Relational IBL in classical music. Machine Learning 64, 1-3 (September, 2006), 5-24.
19. Tsunoda, K. Computer-supported composition of music. Master's Thesis, University of Mie, Japan, 1996.
20. Unehara, M. and Onisawa, T. Music composition system based on subjective evaluation. In Proceedings of IEEE SMC '03 (October 5-8, Washington, D.C.), 2003, pp. 980-986.
21. Unehara, M. and Onisawa, T. Interactive music composition system - Composition of 16-bars musical work with a melody part and backing parts. In Proceedings of IEEE SMC '04 (October 10-13, The Hague, The Netherlands.), 2004, pp. 5736-5741.
22. Widmer, G. Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries. Artificial Intelligence 146, 2 (June, 2003), 129-148.
23. Wiggins, G., Papadopoulos, G., Phon-Amnuaisuk, S. and Tuson, A. Evolutionary methods for musical composition. International Journal of Computing Anticipatory Systems (1999).