Interacting with a musical learning system: The continuator

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2445, Issue , 2002, Pages 119-132

  Pachet, François ^a  

^a SONY COMPUTER SCIENCE LABORATORY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES;

AGNOSTIC LEARNING; MARKOV MODEL; MUSIC COMPOSITION; MUSICAL INFORMATION; MUSICAL MATERIALS; REAL TIME; REAL WORLD EXPERIMENT; REAL-TIME LEARNING;

ARTIFICIAL INTELLIGENCE;

EID: 84937704445     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45722-4_12     Document Type: Conference Paper

References (19)

1. Assayag, G. Dubnov, S. Delerue, O. Guessing the Composer's Mind: Applying Universal Prediction to Musical Style, Proc. ICMC 99, Beijing, China, I.C.M.A., San-Francisco, 1999.
2. Baggi, D. L. NeurSwing: An Intelligent Workbench for the Investigation of Swing in Jazz, in Readings in Computer Generated Music, IEEE Computer Society Press, 1992.
3. Biles, John A. Interactive GenJam: Integrating Real-Time Performance with a Genetic Algorithm, Proc. ICMC 98, Ann Arbor, Michigan, 1998.
4. Jan Borchers, Designing Interactive Musical Systems: a Pattern Approach, HCI International '99. 8th International Conference on Human-Computer Interaction, Munich, Germany, from 22-27 August, 1999.
5. Conklin, D. and Witten, Ian H. Multiple Viewpoint Systems for Music Prediction, JNMR, 24:1, 51-73, 1995.
6. Cope, David. Experiments in Musical Intelligence. Madison, WI: A-R Editions, 1996.
7. Heuser, Jorg, Pat Martino - His contributions and influence to the history of modern Jazz guitar. Ph.D thesis, University of Mainz (Ge), 1994.
8. Hiller, L. and Isaacson, A., Experimental Music, New York: McGraw-Hill, 1959.
9. Karma music workstation, Basic guide. Korg Inc. Available at: http://www.korg.com/downloads/pdf/KARMA-BG.pdf, 2001.
10. Lartillot O., Dubnov S., Assayag G., Bejerano G., Automatic modeling of musical style Proc. ICMC 2001, La Habana, Cuba.
11. New Interfaces for Musical Expression (NIME'01), http://www.csl.sony.co.jp/person/poup/research/chi2000wshp/, 2000.
12. Orlarey, Y. Lequay, H. MidiShare: a Real Time multi-tasks software module for Midi applications Proceedings of the International Computer Music Conference, Computer Music Association, San Francisco, pp. 234-237, 1989.
13. Pachet, F. Roy, P. "Automatic Harmonization: a Survey", Constraints Journal, Kluwer, 6:1, 2001.
14. Pachet, F. "Content-Based Management for Electronic Music Distribution", Communications of the ACM, to appear, 2002.
15. Ramalho G., Ganascia J.-G. Simulating Creativity in Jazz Performance. Proceedings of the National Conference in Artificial Intelligence, pp. 108-113, AAAI-94, Seattle, AAAI Press, 1994.
16. Robert Rowe, Machine Musicianship, MIT Press, 2001.
17. Ron, D. Singer, Y and Tishby, N., "The power of amnesia: learning probabilistic automata with variable memory length", Machine Learning 25(2-3):117-149, 1996.
18. J. L. Triviño-Rodriguez; R. Morales-Bueno, Using Multiattribute Prediction Suffix Graphs to Predict and Generate Music, Computer Music Journal 25 (3) pp. 62-79, 2001.
19. William F. Walker A Computer Participant in Musical Improvisation, Proc. of CHI 1997. Atlanta, ACM Press, 1997.