Multipath Beat Tracking

Giorgi BD, Zanoni M, Böck S, Sarti A. Multipath Beat Tracking. J Audio Eng Soc. 2016;64(7/8):493-502. doi:10.17743/jaes.2016.0025

@article{Giorgi2016_18335,
  author = {Giorgi, Bruno Di and Zanoni, Massimiliano and Böck, Sebastian and Sarti, Augusto},
  title = {{Multipath Beat Tracking}},
  journal = {Journal of the Audio Engineering Society},
  volume = {64},
  number = {7/8},
  pages = {493--502},
  year = {2016},
  month = jul,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2016.0025},
  url = {https://doi.org/10.17743/jaes.2016.0025}
}

TY  - JOUR
TI  - Multipath Beat Tracking
AU  - Giorgi, Bruno Di
AU  - Zanoni, Massimiliano
AU  - Böck, Sebastian
AU  - Sarti, Augusto
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 64
IS  - 7/8
SP  - 493
EP  - 502
PY  - 2016
DA  - 2016/07/06
DO  - 10.17743/jaes.2016.0025
UR  - https://doi.org/10.17743/jaes.2016.0025
PB  - Audio Engineering Society
LA  - en
AB  - Most music compositions evolve according to an underlying unit of time, sometimes implied and sometimes audible, called the beat. Beat trackers are essential components of rhythmic analysis systems in a wide range of applications involving musical information extraction. The authors describe a new methodology for tracking the sequence of beat instants given the ODF (Onset Detection Function) and the IBI (Inter Beat Interval) estimate. This alternate solution is based on a divide-and-conquer strategy that concurrently manages a multitude of simpler trackers from a rule-based perspective, effectively performing the search only for the most promising beat candidates. As confirmed by the experimental results, the performance of this method improves when the number of simple trackers (paths) is increased. Compared to dynamic programming, this approach is preferable in terms of computational efficiency while yielding accuracy scores that are comparable with many known beat trackers.
ER  -