A time varying ARMAX speech modeling with phase compensation using glottal source model

This paper presents new speech analysis method based on a Glottal-ARMAX (Auto Regressive and Moving Average eXogenous) model with phase compensation. A Glottal-ARMAX model consists of two kinds of inputs: glottal source model excitation and a white gauss input, and a vocal tract ARMAX model. The proposed method can simultaneously estimate the glottal source model and vocal tract ARMAX model parameters pitch synchronously. In this method, ARMAX identi cation using a modi ed MIS(Model Identi cation System) method is adopted to estimate ARMAX parameters, and the hybrid approach of Genetic algorithm(GA) and Simulated annealing(SA) is employed to e ciently solve the non-linear simultaneous optimization of both parameters. Furthermore, phase compensation using an all-pass lter is introduced within a generation loop in the GA method in order to compensate phase distortion. Experiments using synthetic speech and natural speech demonstrate the e cacy of the proposed method.