• DocumentCode
    3529584
  • Title

    Kalman fitler with phase spectrum compensation algorithm for speech enhancement

  • Author

    So, Stephen ; Wójcicki, Kamil K. ; Lyons, James G. ; Stark, Anthony P. ; Paliwal, Kuldip K.

  • Author_Institution
    Griffith Sch. of Eng., Griffith Univ., Brisbane, QLD
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    4405
  • Lastpage
    4408
  • Abstract
    In this paper, we propose to combine the Kalman filter with a recent speech enhancement technique, called the phase spectrum compensation procedure, or PSC. More specifically, we apply the PSC technique to initialise the Kalman filter, whereby PSC is used to clean the noisy speech prior to LPC estimation for the Kalman recursion. We refer to the combined technique as the Kalman-PSC filter. Using an objective speech quality measure, formal subjective listening tests and spectrogram analysis, we show that the proposed method results in improved speech quality.
  • Keywords
    Kalman filters; prediction theory; recursive filters; speech enhancement; Kalman filter; LPC estimation; formal subjective listening test; phase spectrum compensation algorithm; spectrogram analysis; speech enhancement; speech quality measure; Iterative methods; Kalman filters; Linear predictive coding; Recursive estimation; Signal processing algorithms; Signal to noise ratio; Spectrogram; Speech analysis; Speech enhancement; Speech processing; Kalman filter; phase spectrum compensation (PSC); speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960606
  • Filename
    4960606