Time-frequency and time-scale transforms are One of the powerful mathematical methods for feature extraction of non-stationary signals such as voice. Modified Fourier-based transforms and Wavelet transforms are well-known among them. Voice can be analyzed by these influential methods but normally with some serious limitations and inadequacies. This paper proposes a new approach based on Wavelet-Hilbert Transform (WHT), for the analysis of voice signals. The mathematical model of a WHT is described. The obtained results by the proposed method show some advantages over the Fourier based algorithms.