• DocumentCode
    3144529
  • Title

    Multi-channel maximum likelihood pitch estimation

  • Author

    Christensen, Mads Grasboll

  • Author_Institution
    Dept. of Archit., Design & Media Technol., Aalborg Univ., Aalborg, Denmark
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    409
  • Lastpage
    412
  • Abstract
    In this paper, a method for multi-channel pitch estimation is proposed. The method is a maximum likelihood estimator and is based on a parametric model where the signals in the various channels share the same fundamental frequency but can have different amplitudes, phases, and noise characteristics. This essentially means that the model allows for different conditions in the various channels, like different signal-to-noise ratios, microphone characteristics and reverberation. Moreover, the method does not assume that a certain array structure is used but rather relies on a more general model and is hence suited for a large class of problems. Simulations with real signals shows that the method outperforms a state-of-the-art multi-channel method in terms of gross error rate.
  • Keywords
    maximum likelihood estimation; microphone arrays; reverberation; fundamental frequency; microphone characteristics; multichannel maximum likelihood pitch estimation; parametric model; reverberation; signal-to-noise ratio; Channel estimation; Frequency estimation; Harmonic analysis; Maximum likelihood estimation; Noise; Speech; Pitch estimation; microphone arrays; multi-channel audio;
  • 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.2012.6287903
  • Filename
    6287903