A Dynamic Programming Approach with Positional Weighting Window to Beat Tracking for Audio Music

نویسندگان

  • Fu-Hai Frank Wu
  • Jyh-Shing Roger Jang
  • Chung-li Lu
چکیده

Automatic beat tracking is challenging task, especially for audio music with time-varying meters. This study proposes a dynamic programming approach with positional weighting window to handle beat tracking with time-varying meters. In particular, the tempo curve is the reference to obtain correct beat positions. The weighting window is used to adapt bandwidth of tempo which reciprocal represents likelihood of beat position candidates. Combining with the strength of novelty curve, the beat tracking result of dynamic programming surpass those scores of other algorithms for MAZ dataset. The beat tracking algorithm outperforms eight out of ten performance indexes in MIREX2012 contest. Index Terms – Tempo Curve, Novelty Curve, Timevarying meter, Dynamic programming, Weighting Window

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تاریخ انتشار 2012