nips nips2004 nips2004-29 nips2004-29-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Dustin Lang, Nando D. Freitas
Abstract: We present a graphical model for beat tracking in recorded music. Using a probabilistic graphical model allows us to incorporate local information and global smoothness constraints in a principled manner. We evaluate our model on a set of varied and difficult examples, and achieve impressive results. By using a fast dual-tree algorithm for graphical model inference, our system runs in less time than the duration of the music being processed. 1
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