A probabilistic model for chord progressions

ISMIR 2005 - 6th International Conference on Music Information Retrieval

Volumn , Issue , 2005, Pages 312-319

  Paiement, Jean François ^a   Eck, Douglas ^b   Bengio, Samy ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BUILDING BLOCKES; DISTRIBUTED REPRESENTATION; EM ALGORITHMS; EUCLIDEAN DISTANCE; GRAPHICAL MODEL; JUNCTION TREE ALGORITHMS; LONG-TERM DEPENDENCIES; MODEL ARCHITECTURE; PROBABILISTIC MODELS; STATISTICAL EVIDENCE; TONAL MUSIC;

ACOUSTICS; ALGORITHMS; BINARY TREES; GRAPHIC METHODS; INFORMATION RETRIEVAL;

COMPUTER MUSIC;

EID: 84873532933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. M. Allan and C. K. I. Williams. Harmonising chorales by probabilistic inference. In Advances in Neural Information Processing Systems, volume 17, 2004.
2. Y. Bengio, P. Simard, and P. Frasconi. Learning long-term dependencies with gradient descent is difficult. IEEE Transactions on Neural Networks, 5(2):157-166, 1994.
3. A. T. Cemgil. Bayesian Music Transcription. PhD thesis, Radboud University of Nijmegen, 2004.
4. Grosvenor Cooper and Leonard B. Meyer. The Rhythmic Structure of Music. The Univ. of Chicago Press, 1960.
5. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, 39:1-38, 1977.
6. Douglas Eck and Juergen Schmidhuber. Finding temporal structure in music: Blues improvisation with LSTM recurrent networks. In H. Bourlard, editor, Neural Networks for Signal Processing XII, Proc. 2002 IEEE Workshop, pages 747.756, New York, 2002. IEEE.
7. T. Fujishima. Realtime chord recognition of musical sound: a system using common lisp music. In Proceedings of the 1999 International Computer Music Conference, pages 464.467, Beijing, China, 1999.
8. Stephen Handel. Listening: An introduction to the perception of auditory events. MIT Press, Cambridge, Mass., 1993.
9. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer series in statistics. Springer-Verlag, 2001.
10. C. Krumhansl. Cognitive Foundations of Musical Pitch. Oxford University Press, Oxford, 1990.
11. T. Kuusi. Set-Class and Chord: Examining Connection Between Theoretical Ressemblance and Perceived Closeness. Number 12 in Studia Musica. Sibelius Academy, 2001.
12. S. L. Lauritzen. Graphical Models. Oxford University Press, 1996.
13. V. Lavrenko and J. Pickens. Polyphonic music modeling with random fields. In Proceedings of ACM Multimedia, Berkeley, CA, November 2-8 2003.
14. Mark Levine. The Jazz Piano Book. Sher Music Co./Advance Music, 1990.
15. B.C.J. Moore. An Introduction to the Psychology of Hearing. Academic Press, 1982.
16. L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-285, February 1989.
17. C. Raphael and J. Stoddard. Harmonic analysis with probabilistic graphical models. In Proceedings of ISMIR 2003, 2003.
18. Chuck Sher, editor. The New Real Book, volume 1. Sher Music Co., 1988.
19. V. Valimaki, J. Huopaniemi, Karjaleinen, and Z. Janosy. Physical modeling of plucked string instruments with application to real-time sound synthesis. J. Audio Eng. Society, 44(5):331-353, 1996.
20. P. Vassilakis. Chords as spectra, harmony as timbre. J. Acoust. Soc. Am., 106(4/2):2286, 1999. (paper presented at the 138th meeting of the Acoustical Society of America).