Theory and evaluation of a Bayesian music structure extractor

ISMIR 2005 - 6th International Conference on Music Information Retrieval

Volumn , Issue , 2005, Pages 420-425

  Abdallah, Samer ^a   Noland, Katy ^a   Sandler, Mark ^a   Casey, Michael ^b   Rhodes, Christophe ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Audio; Boundary; Segmentation; Structure

Indexed keywords

AUDIO; AUTOMATIC STRUCTURES; BAYESIAN; BAYESIAN CLUSTERING; BOUNDARY; DETERMINISTIC ANNEALING; GROUND TRUTH; LOCAL OPTIMA; LONGEST SEGMENTS; MUSIC STRUCTURES; PRECISION-RECALL GRAPHS; SELF-SIMILAR; TRADE-OFF POINT;

ALGORITHMS; IMAGE SEGMENTATION; STRUCTURE (COMPOSITION);

INFORMATION RETRIEVAL;

EID: 84873541730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. J. Allen. Towards a general theory of action and time. Artificial Intelligence, 23:123-154, 1984.
2. J.-J. Aucouturier, F. Pachet, and M. Sandler. The way it sounds : Timbre models for analysis and retrieval of polyphonic music signals. IEEE Transactions of Multimedia, 2005.
3. M. Casey. MPEG-7 sound-recognition tools. IEEE Trans. Circuits Syst. Video Techn., 11(6):737-747, 2001.
4. R. Dannenberg and N. Hu. Discovering musical structure in audio recordings. In Music and Artifical Intelligence: Second International Conference, Edinburgh, 2002.
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. J.-P. Eckmann, S. O. Kamphorst, and D. Ruelle. Recurrence plots of dynamical systems. Europhysics Letters, 5:973-977, 1987.
7. J. Foote. Visualizing music and audio using selfsimilarity. In ACM Multimedia (1), pages 77-80, 1999.
8. A. Galton, editor. Temporal Logics and their Applications. Academic Press, London, 1987.
9. M. Goto. A chorus-section detecting method for musical audio signals. In Proc. ICASSP, volume V, pages 437-440, 2003.
10. T. Hofmann and J. M. Buhmann. Pairwise data clustering by deterministic annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(1), 1997.
11. Q. Huang and B. Dom. Quantitative methods of evaluating image segmentation. In Proc. IEEE Intl. Conf. on Image Processing (ICIP'95), 1995.
12. Multimedia Programming Interface and Data Specifications 1.0. IBM Corporation and Microsoft Corporation, August 1991.
13. Information Technology - Multimedia Content Description Interface - Part 4: Audio. ISO, 2002. 15938-4.
14. B. Logan and S. Chu. Music summarization using key phrases. In International Conference on Acoustics, Speech and Signal Processing, 2000.
15. L. Lu, M.Wang, and H. Zhang. Repeating pattern discovery and structure analysis from acoustic music data. In 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, October 2004.
16. N. Maddage, X. Changsheng, M. Kankanhalli, and X. Shao. Content-based music structure analysis with applications to music semantics understanding. In 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, October 2004.
17. G. Peeters, A. L. Burthe, and X. Rodet. Toward automatic music audio summary generation from signal analysis. In International Symposium on Music Information Retrieval, 2002.
18. J. Puzicha, T. Hofmann, and J. M. Buhmann. Histogram clustering for unsupervised image segmentation. Proceedings of CVPR '99, 1999.
19. L. Rabiner and B. H. Juang. Fundamentals of Speech Recognition. Signal Processing Series. Prentice Hall, Englewood Cliffs, NJ, 1993.
20. G. H. Wakefield. Mathematical representation of joiint time-chroma distributions. In Advanced Signal Processing Algorithms, Architectures, and Implementations, volume 3807, IX, pages 637-645. SPIE, 1999.