Meter detection from audio for indian music

  • Authors:
  • Sankalp Gulati;Vishweshwara Rao;Preeti Rao

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

  • Venue:
  • CMMR'11 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India
  • Year:
  • 2011

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Abstract

The meter of a musical excerpt provides high-level rhythmic information and is valuable in many music information retrieval tasks. We investigate the use of a computationally efficient approach to metrical analysis based on psycho-acoustically motivated decomposition of the audio signal. A two-stage comb filter-based approach, originally proposed for double/ triple meter estimation, is extended to a septuple meter (such as 7/8 time-signature) and its performance evaluated on a sizable Indian music database. We find that this system works well for Indian music and the distribution of musical stress/accents across a temporal grid can be utilized to obtain the metrical structure of audio automatically.