On accurately tracking the harmonic components´ parameters in voiced-speech segments and subsequent modeling by a transfer function

An improved method for modeling voiced speech signals is proposed. First, a method to accurately model the signals using a linear combination of harmonically related sinewaves is described. The method fits a linear combination of sines and cosines whose frequencies are integer multiples of the unknown fundamental (pitch) frequency to the speech data in the least-square sense. The amplitudes of the sinewaves and the fundamental frequency are the unknowns and are determined simultaneously using the least-squares fit. It is shown how one can obtain smoothly varying frequency and amplitude tracks for all the harmonics and thus model the speech signal parsimoniously