A Markov-Chain Monte-Carlo Approach to Musical Audio Segmentation

Rhodes, Christophe; Casey, Michael A.; Abdallah, Samer; and Sandler, Mark. 2006. 'A Markov-Chain Monte-Carlo Approach to Musical Audio Segmentation'. In: IEEE International Conference on Acoustics, Speech and Signal Processing. Toulouse, France. [Conference or Workshop Item]
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This paper describes a method for automatically segmenting and labelling sections in recordings of musical audio. We incorporate the user’s expectations for segment duration as an explicit prior probability distribution in a Bayesian framework, and demonstrate experimentally that this method can produce accurate labelled segmentations for popular music.
Item Type Conference or Workshop Item (Poster)
Departments, Centres and Research Units Computing
Date Deposited 21 Feb 2014 11:29
Last Modified 21 Jan 2021 16:46

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