A Markov-Chain Monte-Carlo Approach to Musical Audio Segmentation
Christophe Rhodes, Michael A. Casey, SA Abdallah, Mark B. Sandler · 2006
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