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- W2531447897 abstract "In recent years several papers on nonlinear prediction applied to speech coding have shown that these techniques can obtain better performance than traditional linear prediction. In this article we present how fractal prediction, a nonlinear technique, can be successfully used in speech coding. First we describe the basic iterated function system theory on which fractal prediction is based. We then introduce those changes necessary to obtain an algorithm that can be used in speech coding. The performance of this coding method is compared with that of the standard ADPCM coder G.726, and shows the better results of the fractal method. Finally, two perceptual criteria are introduced in the original coder to achieve higher quality and lower bit rates. The first of these methods consists in perceptually weighting the error signal before minimization, as most LPC speech coders do. The second method consist in filtering the signal before applying the fractal coder; in this scheme the filter is used to transform the signal to the so-called perceptual space. Then the output from the fractal decoder must be passed through the inverse filter to obtain the final signal. With this scheme the coder can achieve a bit rate of 16 kbps with good quality." @default.
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- W2531447897 date "2002-01-01" @default.
- W2531447897 modified "2023-09-23" @default.
- W2531447897 title "Coding of speech signals using fractal prediction" @default.
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