Rhythm pattern representations for tempo detection in music

  • Authors:
  • Sankalp Gulati;Preeti Rao

  • Affiliations:
  • Indian Institute of Technology Bombay, Mumbai, India;Indian Institute of Technology Bombay, Mumbai, India

  • Venue:
  • Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
  • Year:
  • 2010

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Abstract

Detection of perceived tempo of music is an important aspect of music information retrieval. Perceived tempo depends in a complex manner on the rhythm structure of the audio signal. Machine learning approaches, proposed recently, avoid peak picking and use rhythm pattern matching with stored tempo annotated songs in the database. We investigate different signal processing methods for rhythm pattern extraction and evaluate these for the music tempo detection task. We also investigate the effect of using additional information about the rhythmic style on the performance of the tempo detection system. The different systems are comparatively evaluated on a standard Ballroom Dance music database and an Indian music database.