A Two-Fold Dynamic Programming Approach to Beat Tracking for Audio Music with Time-Varying Tempo

نویسندگان

  • Fu-Hai Frank Wu
  • Tsung-Chi Lee
  • Jyh-Shing Roger Jang
  • Kaichun K. Chang
  • Chun-Hung Lu
  • Wen-Nan Wang
چکیده

Automatic beat tracking and tempo estimation are challenging tasks, especially for audio music with timevarying tempo. This paper proposes a two-fold dynamic programming (DP) approach to deal with beat tracking with time-varying tempo. In particular, the first DP computes the tempo curve from the tempogram. The second DP identifies the optimum beat positions from the novelty and tempo curves. Experimental results demonstrate satisfactory performance for music with significant tempo variations. The proposed approach was submitted to the task of audio beat tracking in MIREX 2010 and was ranked no. 1 for 6 performance indices out of 10, for the dataset with variable tempo. Index Terms – Beat tracking, Tempogram, Time-varying tempo, Dynamic programming, Viterbi search

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تاریخ انتشار 2011