A Rule-based Approach with Meter Estimation to Tempo Estimation for Audio Music

نویسندگان

  • Fu-Hai Frank Wu
  • Jyh-Shing Roger Jang
  • Jui-Yu Hung
چکیده

For audio music with time-varying meters, tempo estimation is a challenging task. This paper proposes several new low-level features of tempogram to determine pulse the classification of duple/triple meters, which can guide the determination of the overall tempo. After the judgment of meters, then we apply k-means clustering on tempo curve to perform tempo estimation. Index Terms – Tempo Estimation, Low-level Features, Tempogram, Tempo Curve, Duple/Triple Meter

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تاریخ انتشار 2012