Fractal excitation signals for CELP speech coders
A class of random signals is presented as a new excitation codebook for stochastic predictive speech coders. These signals, known as fractional noises, depend on a single parameter, 0<H<1, that controls the low- or high-pass trend of their power spectrum. Preliminary experiments have shown their performance improves when H is limited to a subinterval of