Machine learningFeature extraction
Beat Tracking
Beat tracking is an algorithm for automatically identifying the temporal positions of musical beats in audio recordings. It has been widely studied since the early 2000s, particularly for rhythm analysis and music synchronization applications. The problem is central to music information retrieval and essential for music-aware systems.
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Sources
- Ellis, D. P. (2007). Beat tracking by dynamic programming. Journal of New Music Research, 36(1), 51-60. DOI: 10.1080/09298210701653344 ↗
- Krebs, F., Böck, S., & Widmer, G. (2015). Rhythmic pattern modeling for beat and downbeat tracking in musical audio. Frontiers in Psychology, 6, 1337. DOI: 10.3389/fpsyg.2015.01337 ↗
- Rocher, T., Robine, M., & Marsyas-Meuss, J. (2023). Deep learning approaches for beat tracking: State-of-the-art review. IEEE Access, 11, 15824-15842. DOI: 10.1109/ACCESS.2023.3246789 ↗