Wavelet-based Interpolation of Speech Signals Using Fractal Characteristics
نویسندگان
چکیده
In this study, we propose a wavelet based speech data interpolation technique using the fractal characteristics of the speech. The aim of the method is to double the sampling rate, providing higher resolution while preserving the fractal characteristics of the speech signal. The method is applied to synthetic fractal signals and the results are compared with the linearly interpolated ones. Voiced and unvoiced speech and the residual segments are used as the real test data since these signals exhibit fractal behavior. It is shown that, with this method the fractal characteristics and therefore natural acoustics of speech is preserved during the interpolation process.
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