• DocumentCode
    3144607
  • Title

    Initialization-robust multipitch estimation based on latent harmonic allocation using overtone corpus

  • Author

    Sakaue, Daichi ; Itoyama, Katsutoshi ; Ogata, Tetsuya ; Okuno, Hiroshi G.

  • Author_Institution
    Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    425
  • Lastpage
    428
  • Abstract
    We present a new method for modeling the overtone structures of musical instruments that uses an overtone corpus generated using a MIDI synthesizer. Since multipitch estimation requires a joint estimation of F0´s and their overtone structures, one of the most important problems is the overtone structure modeling. Latent harmonic allocation (LHA), a promising multipitch estimation method, is difficult to use for various applications because it requires appropriate prior distributions of the overtone structures, which cannot be determined from statistical evidence. Our method uses an overtone corpus to avoid the problem of setting prior distributions and instead restricts the lower and upper bounds of each overtone weight. The bounds are determined from reference signals generated by a MIDI synthesizer. Experimental results demonstrated that the overtone structures were stably and accurately estimated for a wide variety of initial settings.
  • Keywords
    audio signal processing; estimation theory; musical instruments; MIDI synthesizer; initialization-robust multipitch estimation; latent harmonic allocation; lower bounds; musical instruments; overtone corpus; overtone structures; prior distributions; reference signals; statistical evidence; upper bounds; Bayesian methods; Estimation; Frequency modulation; Harmonic analysis; Instruments; Resource management; Spectrogram; Multipitch estimation; harmonic clustering; musical instrument sounds; overtone estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6287907
  • Filename
    6287907