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Rhythm analysis

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Introduction

Rhythm analysis consists of technologies that automatically parse the rhythm content of a music signal, and extract high level meaningful rhythm characteristics. The signal is firstly analysed in multiple frequency bands and the evolution of multiple features per time are processed to extract the relevant rhythm periodicities of the music signal. These are then further processed to extract high level semantics, such as the tempo, the time signature and the beat positions. The proposed methods achieves comparative results to the Sate-of-the-Art for a variety of music genres.

Examples

Below are some examples of the original music excerpt along with automatic beat annotations.

  • Dance of the knights
    Original

    With beat annotations
  • De les kouventa (Δε λες κουβέντα)
    Original

    With beat annotations
  • Like a virgin
    Original

    With beat annotations
  • Rock the Gasbah
    Original

    With beat annotations

Related work

  1. Gkiokas, Aggelos, Vassilios Katsouros, and George Carayannis. "Reducing Tempo Octave Errors by Periodicity Vector Coding And SVM Learning." In ISMIR, pp. 301-306. 2012.
  2. Gkiokas, Aggelos, Vassilios Katsouros, George Carayannis, and T. Stajylakis. "Music tempo estimation and beat tracking by applying source separation and metrical relations." In Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, pp. 421-424. IEEE, 2012.
  3. Gkiokas, Aggelos, Vassilios Katsouros, and George Carayannis. "Tempo Induction Using Filterbank Analysis and Tonal Features." In ISMIR, pp. 555-558. 2010.