Beat Tracking the Graphical Model Way
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 impres- sive results. By using a fast dual-tree algorithm for graphical model in- ference, our system runs in less time than the duration of the music being processed.
Cite
Text
Lang and Freitas. "Beat Tracking the Graphical Model Way." Neural Information Processing Systems, 2004.Markdown
[Lang and Freitas. "Beat Tracking the Graphical Model Way." Neural Information Processing Systems, 2004.](https://mlanthology.org/neurips/2004/lang2004neurips-beat/)BibTeX
@inproceedings{lang2004neurips-beat,
title = {{Beat Tracking the Graphical Model Way}},
author = {Lang, Dustin and Freitas, Nando D.},
booktitle = {Neural Information Processing Systems},
year = {2004},
pages = {745-752},
url = {https://mlanthology.org/neurips/2004/lang2004neurips-beat/}
}