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Goldsmiths - University of London

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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Abstract or Description

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

Dates:

DateEvent
2006Published

Event Location:

Toulouse, France

Item ID:

2347

Date Deposited:

21 Feb 2014 11:29

Last Modified:

20 Jun 2017 11:52

URI: http://research.gold.ac.uk/id/eprint/2347

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