Beat Tracking the Graphical Model Way

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.

• Type: Conference
• Year: 2004
• Where: NIPS
• Authors: Dustin Lang, Nando de Freitas
• Keywords: Graphical Model, Graphical Model Inference, NIPS 2004, NIPS 2007, Probabilistic Graphical Model