Research of City Engineering Speech Blind Separation Algorithms Based on Independent Vector Analysis

Abstract

Abstract. Aiming at the rapid expansion of urbanization, This paper proposed a new independent vector analysis model, it is an extension of ICA for independent multivariate speech where the sources are mixed component-wise. Formulation that can solve the frequency-domain blind source separation problem, which is very useful in directly applying Newton's method to a contrast function of complex-valued variables. Fast fixed-point independent vector analysis blind source separation algorithms are derived .The real speech signal are used to demonstrate the good converge and accuracy of the algorithms by simulating.