Modeling the Degree of Realized Expectation in Functional Tonal Music: A Study of Perceptual and Cognitive Modeling Using Neural Networks

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 1996, Pages 454-457

  Gang, Dan ^a   Berger, Jonathan ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITION-BASED; COGNITIVE MODEL; METRIC INFORMATION; NEURAL-NETWORKS; PERCEPTUAL MODELLING; SEQUENTIAL DATA; SUBNETS; SUBNETWORKS; TEMPORAL INFORMATION; TONAL MUSIC;

MUSIC;

EID: 0042411718     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. J. Berger. A model of ambiguity in music. Journal of Computers in Music Research, 2.2, 1992.
2. J. Berger and D. Gang. Modeling musical expectations: A neural network model of dynamic changes of expectation in the audition of functional tonal music. In Procs. of the Fourth International Conference on Music Perception and Cognition, Montreal, 1996.
3. J. J. Bharucha. Pitch, harmony and neural nets: A psychological perspective. In P. M. Todd and D. G. Loy, editors, Music and Connectionism. MIT, 1991.
4. D. Gang and D. Lehmann. An artificial neural net for harmonizing melodies. In Procs. of the International Computer Music Conference, 1995, Banff, Canada, 1995.
5. E. W. Large and J. F. Kolen. Resonance and the perception of musical meter. Connection Science, 6, no.2-3:177-208, 1994.