• DocumentCode
    431336
  • Title

    Stochastic Integration and Long Term Predictor Estimation under Noisy Conditions for Speech Enhancement

  • Author

    Kuropatwinski, M. ; Kleijn, W.B.

  • Author_Institution
    Signal, Sensors & Syst. Dept, R. Inst. of Technol., Stockholm, Sweden
  • Volume
    1
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    801
  • Lastpage
    804
  • Keywords
    Kalman filters; Wiener filters; least mean squares methods; maximum likelihood estimation; prediction theory; signal sampling; speech enhancement; stochastic processes; Kalman filter; LTP parameters; Wiener filter; a priori STP parameter distribution; clean speech estimates; databases; dual frame stationary process; excitation variances; lag; likelihood criterion; long-term predictor estimation; minimum mean square error estimates; noisy conditions; short term predictor; single frame stationary process; speech enhancement; speech training data sampling; stochastic integration; tap pairs; triple frame asymptotic mean stationary process; Covariance matrix; Databases; Kalman filters; Noise measurement; Sensor systems; Software measurement; Speech coding; Speech enhancement; Stochastic processes; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415235
  • Filename
    1415235
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431336