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Beat Tracking/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Beat Tracking Algorithm
Taxonomic method record · ml-model / music-information-retrieval
  • 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. · URL
  • Rocher, T., Robine, M., & Marsyas-Meuss, J. (2023). Deep learning approaches for beat tracking: State-of-the-art review. IEEE Access, 11, 15824-15842. · URL
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyHarmonic Analysis in Musicmachine-suggested · Relational suggestion, not evidence.Same method familyMusic Genre Classificationmachine-suggested · Relational suggestion, not evidence.Same method familyMusic Segmentationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPitch Detection Algorithmmachine-suggested · Relational suggestion, not evidence.Same method familyTempo Estimationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

3 recorded citations, copied from the method source record.

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