Accurate parameter estimation of noisy speech-like signals

Assuming that a short segment of observed speech signal can be modeled as the noisy impulse response of a linear system we obtain the pole locations of the system from the zeros of a polynomial. The coefficients of the polynomial are accurately determined by two methods using eigenvalue-eigenvector decomposition of an estimated correlation matrix. The speech-like signal is used in the reversed time direction to identify the signal related zeros of the Polynomial from the rest. Experimental results comparing the accuracy of the Pole parameters obtained by different methods are given.