• DocumentCode
    463415
  • Title

    Integration and Adaptation of Harmonic and Inharmonic Models for Separating Polyphonic Musical Signals

  • Author

    Itoyama, Katsutoshi ; Goto, Misako ; Komatani, K. ; Ogata, Takaaki ; Okuno, Hiroshi G.

  • Author_Institution
    Dept. of Intelligence Sci. & Technol., Kyoto Univ., Japan
  • Volume
    1
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    This paper describes a sound source separation method for polyphonic sound mixtures of music to build an instrument equalizer for remixing multiple tracks separated from compact-disc recordings by changing the volume level of each track. Although such mixtures usually include both harmonic and inharmonic sounds, the difficulties in dealing with both types of sounds together have not been addressed in most previous methods that have focused on either of the two types separately. We therefore developed an integrated weighted-mixture model consisting of both harmonic-structure and inharmonic-structure tone models (generative models for the power spectrogram). On the basis of the MAP estimation using the EM algorithm, we estimated all model parameters of this integrated model under several original constraints for preventing over-training and maintaining intra-instrument consistency. Using standard MIDI files as prior information of the model parameters, we applied this model to compact-disc recordings and achieved the instrument equalizer.
  • Keywords
    acoustic signal processing; expectation-maximisation algorithm; harmonic analysis; music; musical instruments; source separation; EM algorithm; compact-disc recordings; inharmonic models; inharmonic-structure tone models; instrument equalizer; polyphonic musical signals separation; sound source separation method; weighted-mixture model; Audio recording; CD recording; Equalizers; Frequency; Instruments; Music; Parameter estimation; Power generation; Source separation; Spectrogram; Music; equalizers; music understanding; separation; sound source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366615
  • Filename
    4217015