Melodic segmentation: evaluating the performance of algorithms and musical experts

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 2002, Pages 65-72

  Thom, Belinda ^a   Spevak, Christian ^a   Höthker, Karin ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER MUSIC; MUSIC;

ALGORITHM PERFORMANCE; BOUNDARY DETECTION; DETECTION MODELS; FOLK SONGS; PERFORMANCE OF ALGORITHM; QUANTITATIVE EVALUATION; SEGMENTATION ALGORITHMS;

IMAGE SEGMENTATION;

EID: 85122105486     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Bod, R. (2001). Memory-based models of melodic analysis: challenging the gestalt principles. Journal of New Music Research 30(3).
2. Cambouropoulos, E. (1998). Musical parallelism and melodic segmentation. In Proceedings of the XII Colloquium on Musical Informatics, Gorizia, Italy, pp. 111-114.
3. Cambouropoulos, E. (2001). The Local Boundary Detection Model (LBDM) and its application in the study of expressive timing. In Proceedings of the International Computer Music Conference (ICMC01), Havana, Cuba.
4. Crawford, T., C. S. Iliopoulos, and R. Raman (1998). String-matching techniques for musical similarity and melodic recognition. In W. B. Hewlett and E. Selfridge-Field (Eds.), Melodic Similarity: Concepts, Procedures, and Applications, Chapter 3, pp. 73-100. Cambridge, Mass.: MIT Press.
5. Dahlig, E. (2002). Personal communication.
6. Friberg, A., R. Bresin, L. Frydén, and J. Sundberg (1998). Musical punctuation on the microlevel: automatic identification and performance of small melodic units. Journal of New Music Research 27(3), 271-292.
7. Höthker, K., D. Hörnel, and C. Anagnostopoulou (2001). Investigating the influence of representations and algorithms in music classification. Computers and the Humanities 35, 65-79.
8. Lerdahl, F. and R. Jackendoff (1983). A Generative Theory of Tonal Music. Cambridge, Mass.: MIT Press.
9. Manning, C. D. and H. Schütze (2001). Foundations of Statistical Natural Language Processing. MIT Press.
10. Rowe, R. (1993). Interactive Music Systems: Machine Listening and Composing. Cambridge, Mass.: MIT Press.
11. Schaffrath, H. (1993). Repräsentation einstimmiger Melodien: computerunterstützte Analyse und Musikdatenbanken. In Neue Musiktechnologie, pp. 277-300. Mainz: Schott.
12. Spevak, C, B. Thorn, and K. Höthker (2002). Evaluating melodic segmentation. In Proceedings of the 2nd Conference on Music and Artificial Intelligence, ICMAI'02, Edinburgh, Scotland.
13. Temperley, D. (2001). The Cognition of Basic Musical Structures. Cambridge, Mass.: MIT Press.
14. Thorn, B. (2001). BoB: An Improvisational Music Companion. PhD thesis, Carnegie Mellon University, Pittsburgh, Pennsylvania.