Application of optimal settings of the LMS adaptive filter for speech signal processing

Abstract

This paper describes a proposition of the method for optimal adjustment parameters of the adaptive filter with LMS algorithm in the practical application of suppression of additive noise in a speech signal for voice communication with the control system. By the proposed method, the optimal values of parameters of adaptive filter are calculated with guarantees the stability and convergence of the LMS algorithm. The DTW criterion is used for the quality assessment of speech signal processing obtained from output of adaptive filter with LMS algorithm. In the experimental section is described the way of verification of the proposed method on the structure of the adaptive filter with LMS algorithm and on the structure of the adaptive filter with LMS algorithm in application of suppressing noise from speech signal by simulations in MATLAB software and implementation on DSK TMS320C6713.