A Markov-chain Monte-Carlo approach to musical audio segmentation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2006, Pages

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

^a UNIVERSITY OF LONDON   (United Kingdom)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FRAMEWORK; MARKOV-CHAIN MONTE-CARLO APPROACH; MUSICAL AUDIO SEGMENTATION;

AUDIO ACOUSTICS; BAYESIAN NETWORKS; MONTE CARLO METHODS; MUSICAL INSTRUMENTS; PROBABILITY DISTRIBUTIONS;

MARKOV PROCESSES;

EID: 33947629774     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Mark Levy, Mark Sandier, and Michael Casey, "Extraction of High-Level Musical Structure From Audio Data and its Application to Thumnail Generation," Accepted for publication in ICASSP 2006.
2. Jonathan Foote, "Visualizing music and audio using self-similarity," in ACM Multimedia (1), 1999, pp. 77-80.
3. B. Logan and S. Chu, "Music summarization using key phrases," in Proc. ICASSP, Istanbul, 2000.
4. Geoffroy Peeters, Amaury La Burthe, and Xavier Rodet, "Toward automatic music audio summary generation from signal analysis," in Proc. ISMIR, Paris, 2002.
5. Mark A. Bartsch and Gregory H. Wakefield, "To Catch a Chorus: Using Chroma-Based Representations for Audio Thumbnailing," in Proc. WASPAA, Mohonk, New York, 2001.
6. R. Dannenberg and N. Hu, "Discovering musical structure in audio recordings," in Proc. ICMAI, Edinburgh, 2002.
7. Masataka Goto, "A chorus-section detecting method for musical audio signals," in Proc. ICASSP, Hong Kong, 2003. vol. V, pp. 437-440.
8. L. Lu, M. Wang, and H. Zhang, "Repeating pattern discovery and structure analysis from acoustic music data," in 6th ACM SIGMM MIR Workshop, New York, 2004.
9. Samer Abdallah, Katy Noland, Mark Sandler, Michael Casey, and Christophe Rhodes, "Theory and evaluation of a Bayesian music structure extractor," in Proc. Sixth ISMIR, London, 2005.
10. Jan Puzicha, Thomas Hofmann, and Joachim M. Buhmann, "Histogram clustering for unsupervised image segmentation," Proceedings of CVPR '99, Fort Collins, Colorado, 1999.
11. Ulli Wolff, "Collective Monte Carlo Updating for Spin Systems," Physical Review Letters, vol. 62, no. 4, pp. 361-364, 1989.
12. Adrian Barbu and Song-Chun Zhu, "Cluster sampling and its applications in image processing," Tech. Rep. 409, University of California, Los Angeles, 2004.
13. Qian Huang and Byron Dom, "Quantitative methods of evaluating image segmentation," in Proc. IEEE Intl. Conf. on Image Processing (ICIP'95), Washington DC, 1995.
14. C. J. van Rijsbergen, Information Retrieval, Butterworth, 1979.