Bayesian models of musical structure and cognition

Musicae Scientiae

Volumn 8, Issue 2, 2004, Pages 175-205

  Temperley, David ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84990370530     PISSN: 10298649     EISSN: None     Source Type: Journal    
DOI: 10.1177/102986490400800204     Document Type: Article

References (37)

1. Alamkan C. Birmingham W. P. Simoni M. H. (1999). Stylistic structures: An initial investigation of the stochastic genration of tonal music. University of Michigan Technical Repon CSE-TR-395 – 99.
2. Bharucha J. J. (1987). Music cognition and perceptual facilitation: A connectionist framework. Music Perception, 5, 5–11.
3. Bod R. (2002). Memory-based models of melodic analysis: Challenging the Gestalt principles. Journal of New Music Research, 31, 31–37.
4. Bregman A. S. (1990). Auditory Scene Analysis. Cambridge, MA: MIT Press.
5. Butler D. (1989). Describing the perception of tonality in music: A critique of the tonal hierarchy theory and a proposal for a theory of intervallic rivalry. Music Perception, 6, 6–219.
6. Cemgil A. T. Desain P. Kappen B. (2000a). Rhythm quantization for transcription. Computer Music Journal, 24(2), 60–76.
7. Cemgil A. T. Kappen B. Desain P. Honing H. (2000b). On Tempo tracking: Tempogram representation and Kalman filtering. Journal of New Music Research, 29, 29–259.
8. Charniak E. (1996). Statistical Language Learning. Cambridge, MA: MIT Press.
9. Cohen J. E. (1962). Information theory and music. Behavioral Science, 7, 7–137.
10. Conklin D. Witten I. (1995). Multiple viewpoint systems for music prediction. Journal of New Music Research, 24, 24–51.
11. Hiller L. A. Fuller R. (1967). Structure and information in Webern’s Symphonie, Opus 21. Journal of Music Theory, 11, 11–60.
12. Holrzmann S. R. (1977). A program for key determination. Interface, 6, 6–29.
13. Huron D. Parncutt R. (1993). An improved model of tonality perception incorporating pitch salience and echoic memory. Psychomusicology, 12, 12–154.
14. Jurafsky D. Martin J. H. (2000). Speech and Language Processing. Upper Saddle River, NJ: Prentice-Hall.
15. Knopoff L. Hutchinson W. (1983). Entropy as a measure of style: The influence of sample length. Journal of Music Theory, 27, 27–75.
16. Kosrka S. Payne D. (1995b). Workbook for Tonal Harmony New York: McGraw — Hill.
17. Krumhansl C. L. (1990). Cognitive Foundations of Musical Pitch. New York: Oxford University Press.
18. Leman M. (1995). Music and Schema Theory Berlin: Springer.
19. Lerdahl F. Jackendoff R. (1983). A Generative Theory of Tonal Music. Cambridge, MA: MIT Press.
20. Longuet—Higgins H. C. Sreedman M. J. (1971). On interpreting Bach. Machine Intelligence, 6, 6–22.
21. Manning C. D. Schütze H. (2000). Foundations of Statistical Natural Language Processing. Cambridge, MA: MIT Press.
22. Meyer L. B. (1967). Meaning in music and information theory. In Music, The Arts, and Ideas (pp. 5–21). Chicago: University of Chicago Press.
23. Narmour E. (1990). The Analysis and Cognition of Basic Melodic Structures: The Implication-Realization Model Chicago: University of Chicago Press.
24. Oram N. Cuddy L. L. (1995). Responsiveness of Western adults to pitch-distributional information in melodic sequences. Psychological Research, 57, 57–103.
25. Ponsford D. Wiggins G. Mellish C. (1999). Statistical learning of harmonic movement. Journal of New Music Research, 28, 28–150.
26. Raphael C. (2002). Automatic Transcription of Piano Music. In Fingerhut M.,(ed. ), Proceedings of the 3rd Annual International Symposium on Music Information Retrieval (pp. 15–9). Paris: IRCAM-Centre Pompidou.
27. Schellenberg E. G. (1997). Simplifying the implication-realization model of melodic expectancy. Music Perception, 14, 14–295.
28. Schmuckler M. (1989). Expectation and music: Investigation of melodic and harmonic processes. Music Perception, 7, 7–109.
29. Smith N. Schmuckler M. (2000). Pitch-distributional effects on the perception of tonality. In Woods C. Luck B. B. Brochard R. O’Neil S. A. Sloboda J. A. (eds), Proceedings of the Sixth International Conference on Music Perception and Cognition (CD). Keele, UK: Department of Psychology.
30. Temperley D. (2001). The cognition of basic musical structures. Cambridge, MA: MIT Press.
31. Temperley D. (2002). A Bayesian approach to key-finding. In Anagnostopoulou C. Ferrand M. Smaill A (eds), Music and Artificial Intelligence (pp. 195–206). Berlin: Springer.
32. Temperley D. Sleator D. (1999). Modeling meter and harmony: A preference-rule approach. Computer Music Journal, 23(1), 10–27.
33. Toiviainen P. Krumhansl C. L. (2003). Measuring and modeling real-time responses to music: The dynamics of tonality induction. Perception, 32, 32–741.
34. von Hippel P. (2000). Redefining pitch proximity: Tessitura and mobility as constraints on melodic intervals. Music Perception, 17, 17–315.
35. von Hippel P. Huron D. (2000). Why do skips precede reversals? The effect of tessitura on melodic structure. Music Perception, 18, 18–59.
36. Vos P. G. Van Geenen E. W. (1996). A parallel-processing key-finding model. Music Perception, 14, 14–185.
37. Youngblood J. E. (1958). Style as information. Journal of Music Theory, 2, 2–24.