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.
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Keywords
- Discrete Cosine Transform
- Speech Signal
- Discrete Fourier Transform
- Discrete Cosine Transform Coefficient
- Speech Enhancement
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© 2003 Springer-Verlag Berlin Heidelberg
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Kober, V. (2003). Enhancement of Noisy Speech Using Sliding Discrete Cosine Transform. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_27
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DOI: https://doi.org/10.1007/978-3-540-24586-5_27
Publisher Name: Springer, Berlin, Heidelberg
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