Feature set patterns in music

Computer Music Journal

Volumn 32, Issue 1, 2008, Pages 60-70

  Conklin, Darrell ^a   Bergeron, Mathieu ^a  

^a CITY UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; HEURISTIC ALGORITHMS; MATHEMATICAL MODELS; PROBABILITY; STATISTICAL METHODS;

FEATURE-SET REPRESENTATION; HEURISTIC PROBABILISTIC ALGORITHMS; PATTERN DISCOVERY METHOD;

COMPUTER MUSIC;

EID: 41649093777     PISSN: 01489267     EISSN: 15315169     Source Type: Journal    
DOI: 10.1162/comj.2008.32.1.60     Document Type: Article

References (25)

1. Agrawal, R., and R. Srikant. 1995. Mining Sequential Patterns." Proceedings of the Eleventh International Conference on Data Engineering. New York: IEEE Computer Society Press, pp. 3-14.
2. Ayres, J., et al. 2002. "Sequential Pattern Mining Using a Bitmap Representation." Proceedings of the International Conference on Knowledge Discovery and Data Mining. New York: ACM Press, pp. 429-435.
3. Bergeron, M., and D. Conklin. 2007. "Representation and Discovery of Feature Set Patterns in Music." Proceedings of the International Workshop on Artificial Intelligence and Music. San Francisco, California: Morgan Kaufmann, pp. 1-12.
4. Brachman, R., and H. Levesque. 2004. Knowledge Representation and Reasoning. San Francisco, California: Morgan Kaufmann.
5. Brassens, G. 1993. Poèmes & Chansons. Paris: Éditions du Seuil.
6. Cambouropoulos, E., et al. 2005. " A Pattern Extraction Algorithm for Abstract Melodic Representations That Allow Partial Overlapping of Intervallic Categories." Proceedings of the Sixth Annual International Conference on Music Information Retrieval. London: Queen Mary University of London, pp. 167-174.
7. Conklin, D. 2002. "Representation And Discovery of Vertical Patterns in Music." In C. Anagnostopoulou, M. Ferrand, and A. Smaill, eds. Music and Artificial Intelligence: Lecture Notes in Artificial Intelligence 2445. Berlin: Springer-Verlag, pp. 32-42.
8. Conklin, D. 2006. "Melodic Analysis with Segment Classes." Machine Learning 65:349-360.
9. Conklin, D., and C. Anagnostopoulou. 2001. "Representation and Discovery of Multiple Viewpoint Patterns." Proceedings of the 2001 International Computer Music Conference. San Francisco, California: International Computer Music Association, pp. 479-485.
10. Conklin, D., and C. Anagnostopoulou. 2005. "Segmental Pattern Discovery in Music." INFORMS Journal on Computing 18(13):285-293.
11. Conklin, D., and M. Bergeron. 2007. "Discovery of Generalized Interval Patterns." Proceedings of the Fourth Sound and Music Computing Conference. Lefkada, Greece: National and Kapodistrian University of Athens, pp. 149-152.
12. Conklin, D., and I. H. Witten. 1995. "Multiple Viewpoint Systems for Music Prediction." Journal of New Music Research 24(1):51-73.
13. Cope, D. 1991. Computers and Musical Style. Madison, Wisconsin: A-R Editions.
14. Gusfield, D. 1997. Algorithms on Strings, Trees, and Sequences. Cambridge, UK: Cambridge University Press.
15. Huron, D. 2001. "What is a Musical Feature? Forte's Analysis of Brahms's Opus 51, No. 1, Revisited." Music Theory Online 7(4). Available online at www.societymusictheory.org/mto/.
16. Keefe, S. 2002. "Sophisticated Simplicity: Text and Music in the Early Songs of Georges Brassens." Tijdschrift voor Muziektheorie 7(1):11-23.
17. Lartillot, O. 2004. "A Musical Pattern Discovery System Founded on a Modeling of Listening Strategies", Computer Music Journal 28(3):53-67.
18. Lawrence, C. et al. "Determining Subtle Sequence Signals. A Gibbs Sampling Strategy for Multiple Alignment." Science 262(5131):208-214.
19. Lin, C.R., et al. 2004. "Music Classification Using Significant Repeated Patterns." Proceedings of the Eighth International Conference on Database Systems for Advanced Applications. Berlin: Springer, pp. 508-518.
20. Manning, C., and H. Schutze. 1999. Foundations of Statistical Natural Language Processing. Cambridge, Massachusetts: MIT Press.
21. Mongeau, M., and D. Sankoff. 1990. "Comparison of Musical Sequences." Computers and the Humanities 24(3):161-175.
22. Rowe, R. 1993. Interactive Music Systems: Machine Listening and Composing. Cambridge, Massachusetts: MIT Press.
23. Ruwet, N. 1966. "Méthodes d'Analyse en Musicologie." Revue Belge de Musicologie 20:65-90.
24. Schaffrath, H. 1995, "The Essen Folksong Collection in the Humdrum Kern Format." Stanford, California: Center for Computer Assisted Research in the Humanities at Stanford University.
25. Uno, T., et al. 2003. "LCM: An Efficient Algorithm Enumerating Frequent Closed Item Sets." Proceedings of the Workshop on Frequent Itemset Mining Implementations. Aachen, Germany: CEUR Workshop Proceedings.