Information dynamics and aspects of musical perception

The Structure of Style: Algorithmic Approaches to Understanding Manner and Meaning

Volumn , Issue , 2010, Pages 127-157

  Dubnov, Shlomo ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891431500     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-642-12337-5_7     Document Type: Chapter

References (24)

1. Berns G (2005) Satisfaction: The science of finding true fulfillment. Henry Holt, New York
2. Burns K (2006) Bayesian beauty: On the art of eve and the act of enjoyment. In: Proceedings of the AAAI06 workshop on computational aesthetics
3. Casey MA (2001) Mpeg-7 sound recognition tools. IEEE Trans Circuits Sys Video Technol 11(6):737-747
4. Csikszentmihalyi M (1990) Flow: The psychology of optimal experience. Harper & Row, New York, NY
5. Dubnov S (2008) Unified view of prediction and repetition structure in audio signals with application to interest point detection. IEEE Trans Audio Speech Lang Process 16(2):327-337
6. Dubnov S (2006) Analysis of musical structure in audio and midi using information rate. In: Proceedings of the international computer music conference, New Orleans, LA
7. Dubnov S (2006) Spectral anticipations. Compu Music J 30(2):63-83
8. Foote J, CooperM(2001) Visualizingmusical structure and rhythm via self-similarity. In: Proceedings of the international computer music conference, pp 419-422
9. Fraisse P (1957) Psychologie du temps [Psychology of time]. Presses Universitaires de France, Paris
10. Goffman E (1974) Frame analysis: An essay on the organization of experience. Harvard University Press, Cambridge, MA
11. Huron D (2006) Sweet anticipation: Music and the psychology of expectation. MIT Press, Cambridge, MA
12. Kohs EB (1976) Musical form: Studies in analysis and synthesis. Houghton Mifflin, Boston, MA
13. Lewicki MS (2002) Efficient coding of natural sounds. Nature Neurosci 5(4):356-363
14. McAdams S (1989) Psychological constraints on form-bearing dimensions in music. Contemp Music Rev 4:181-198
15. Moreau N, Kim H, Sikora T (2004) Audio classification based on mpeg-7 spectral basis representations. IEEE Trans Circuits Syst Video Technol 14(5):716-725
16. Narmour E (1990) The analysis and cognition of basic melodic structures: The implicationrealization model. University of Chicago Press, Chicago, IL
17. Nemenman I, Bialek W, Tishby N (2001) Predictability, complexity and learning. Neural Comput 13:2409-2463
18. Oppenheim AV, Schafer RW (1989) Discrete-Time signal processing. Prentice Hall Upper Saddle River, NJ
19. Reynolds R (2005) Mind models. Routledge, New York, NY
20. Reynolds R (2005) Form and method: Composing music. Routledge, New York, NY
21. Reynolds R, Dubnov S, McAdams S (2006) Structural and affective aspects of music from statistical audio signal analysis. J Am Soc Inf Sci Technol 57(11):1526-1536
22. Stein L (1962) Structure and style: The study and analysis of musical forms. Summy-Birchard, Evanston, IL
23. Tversky A, Kahneman D (1981) The framing of decisions and the psychology of choice. Science 221:453-458
24. Zhang H-J, Lu L, Wenyin L (2004) Audio textures: Theory and applications. IEEE Trans Speech Audio Process 12(2):156-167