Proper

Abstract

Speech processing is used widely in every day’s applications that most people take for granted, such as network wirelines, cellular telephony, telephony system and telephone answering machines. Due to its popularity and increasing of demand, engineers are trying various approaches of improving the process. One of the methods for improving is trying on different methods of filtering techniques. Thus, this instigates an introduction of a filtering technique known as Kalman filtering. In the early days, Kalman filtering was very popular in the research field of navigation because of its magnificent accurate estimation characteristic. Since then, electronics communication engineers manipulate its advantages to useful purpose in speech processing. Consequently, today it had become a popular filtering technique for estimating and resolving redundant errors containing in speech. The objective of this paper is to generate a reconstructed output speech signal from the input signal involving the application of a Kalman filter estimation technique.