Now showing items 1-5 of 5

    • Adaptive filtering approaches for non-Gaussian stable processes 

      Arıkan, Orhan; Belge, Murat; Çetin, A. Enis; Erzin, Engin (IEEE, 1995-05)
      A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ...
    • Interframe differential vector coding of line spectrum frequencies 

      Erzin, Engin; Çetin, A. Enis (IEEE, 1993-04)
      Line Spectrum Frequencies (LSF's) uniquely represent the Linear Predictive Coding (LPC) filter of a speech frame. In many vocoders LSF's are used to encode the LPC parameters. In this paper, an interframe differential ...
    • Low bit rate speech coding methods and a new interframe differential coding scheme for line spectrum pairs 

      Erzin, Engin (Bilkent University, 1992)
      Low bit rate speech coding techniques and a new coding scheme for vocal tract parameters are presented. Linear prediction based voice coding techniques (linear predictive coding and code excited linear predictive coding) ...
    • New methods for robust speech recognition 

      Erzin, Engin (Bilkent University, 1995)
      New methods of feature extraction, end-point detection and speech enhcincement are developed for a robust speech recognition system. The methods of feature extraction and end-point detection are based on wavelet analysis ...
    • Subband analysis for robust speech recognition in the presence of car noise 

      Çetin, A. Enis; Yardımcı, Y.; Erzin, Engin (IEEE, 1995-05)
      In this paper, a new set of speech feature representations for robust speech recognition in the presence of car noise are proposed. These parameters are based on subband analysis of the speech signal. Line Spectral Frequency ...