سال انتشار: ۱۳۹۰

محل انتشار: دومین کنفرانس ملی محاسبات نرم و فن آوری اطلاعات

تعداد صفحات: ۵

نویسنده(ها):

Ali farmani – Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Mehdi rabizadeh – Department of Electrical Engineering, khaje nasir University, Tehran, Iran
hossien balazadeh bahar – Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

چکیده:

In this article, the primary goal is to design a MATLAB based simulator for processing of speech together with the aid of the Kalman filtering technique and to obtain a reconstructed speech signal, which is similar to the input speech signal, the purpose of this approach is to reconstruct an output speech signal by making use of theaccurate estimating ability of the Kalman filter. Furthermore, the results have also shown that Kalman filter could be tunedto provide optimal performance. With the introduction of tuning parameters Q & R, output speech signals can be obtained similar to the input speech signals. In this paper, Kalman filter is used to estimate the parameters of the autoregressive (AR) process and represented in the state-space domain