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Enhancement of Noisy Speech Using Sliding Discrete Cosine Transform

  • Vitaly Kober
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)

Abstract

Denoising of speech signals using a sliding discrete cosine transforms (DCT) is proposed. A minimum mean-square error (MMSE) estimator in the domain of a sliding DCT is derived. In order to provide speech processing in real time, a fast recursive algorithm for computing the sliding DCT is presented. The algorithm is based on a recursive relationship between three subsequent local DCT spectra. Extensive testing has shown that background noise in actual environment such as the helicopter cockpit can be made imperceptible by proper choice of suppression parameters.

Keywords

Discrete Cosine Transform Speech Signal Discrete Fourier Transform Discrete Cosine Transform Coefficient Speech Enhancement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Vitaly Kober
    • 1
  1. 1.Department of Computer SciencesDivision of Applied Physics CICESEEnsenadaMexico

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