A Markov-Chain Monte-Carlo Approach to Musical Audio Segmentation
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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.
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Conference or Workshop Item (Poster) |
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| Event Location: |
Toulouse, France |
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| Item ID: |
2347 |
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| Date Deposited: |
21 Feb 2014 11:29 |
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| Last Modified: |
21 Jan 2021 16:46 |
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