• DocumentCode
    2132644
  • Title

    Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction

  • Author

    Pauwels, Johan ; Martens, Jean-Pierre ; Leman, Marc

  • Author_Institution
    Digital Speech & Signal Process. Group (ELIS-DSSP), Ghent Univ., Ghent, Belgium
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we discuss the introduction of a trigram musicological model in a simultaneous chord and local key extraction system. By enlarging the context of the musicological model, we hoped to achieve a higher accuracy that could justify the associated higher complexity and computational load of the search for the optimal solution. Experiments on multiple data sets have demonstrated that the trigram model has indeed a larger predictive power (a lower perplexity). This raised predictive power resulted in an improvement in the key extraction capabilities, but no improvement in chord extraction when compared to a system with a bigram musicological model.
  • Keywords
    audio signal processing; information retrieval; music; bigram musicological model; computational load; key extraction capability; local key extraction system; multiple data sets; musicological information modeling; optimal solution; predictive power; simultaneous chord extraction system; trigram musicological model; Acoustics; Computational modeling; Context; Context modeling; Data models; Harmonic analysis; Psychoacoustic models; Chord extraction; key extraction; music information retrieval; music signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing (MLSP), 2011 IEEE International Workshop on
  • Conference_Location
    Santander
  • ISSN
    1551-2541
  • Print_ISBN
    978-1-4577-1621-8
  • Electronic_ISBN
    1551-2541
  • Type

    conf

  • DOI
    10.1109/MLSP.2011.6064602
  • Filename
    6064602