Towards an indexing method to speed-up music retrieval

  • Authors:
  • Benjamin Martin;Pierre Hanna;Matthias Robine;Pascal Ferraro

  • Affiliations:
  • University of Bordeaux, Talence, France;University of Bordeaux, Talence, France;University of Bordeaux, Talence, France;University of Bordeaux, Talence, France

  • Venue:
  • Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
  • Year:
  • 2011

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Abstract

Computations in most music retrieval systems strongly depend on the size of data compared. We propose to enhance performances of a music retrieval system, namely a harmonic similarity evaluation method, by first indexing relevant parts of music pieces. The indexing algorithm represents each audio piece exclusively by its major repetition, using harmonic descriptions and string matching techniques. Evaluations are performed in the context of a state-of-the-art retrieval method, namely cover songs identification, and results highlight the success of our indexing system in keeping similar results while yielding a substantial gain in computation time.