Music analysis with a Bayesian dynamic model
Publication
, Journal Article
Ren, L; Dunson, DB; Lindroth, S; Carin, L
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
September 23, 2009
A Bayesian dynamic model is developed to model complex sequential data, with a focus on audio signals from music. The music is represented in terms of a sequence of discrete observations, and the sequence is modeled using a hidden Markov model (HMM) with time-evolving parameters. The model imposes the belief that observations that are temporally proximate are more likely to be drawn from HMMs with similar parameters, while also allowing for "innovation" associated with abrupt changes in the music texture. Segmentation of a given musical piece is constituted via the model inference and the results are compared with other models and also to a conventional music-theoretic analysis. ©2009 IEEE.
Duke Scholars
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
September 23, 2009
Start / End Page
1681 / 1684
Citation
APA
Chicago
ICMJE
MLA
NLM
Ren, L., Dunson, D. B., Lindroth, S., & Carin, L. (2009). Music analysis with a Bayesian dynamic model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1681–1684. https://doi.org/10.1109/ICASSP.2009.4959925
Ren, L., D. B. Dunson, S. Lindroth, and L. Carin. “Music analysis with a Bayesian dynamic model.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, September 23, 2009, 1681–84. https://doi.org/10.1109/ICASSP.2009.4959925.
Ren L, Dunson DB, Lindroth S, Carin L. Music analysis with a Bayesian dynamic model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2009 Sep 23;1681–4.
Ren, L., et al. “Music analysis with a Bayesian dynamic model.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Sept. 2009, pp. 1681–84. Scopus, doi:10.1109/ICASSP.2009.4959925.
Ren L, Dunson DB, Lindroth S, Carin L. Music analysis with a Bayesian dynamic model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2009 Sep 23;1681–1684.
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
September 23, 2009
Start / End Page
1681 / 1684