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Advanced Voice Excited Linear Predictive Coding With Noise Reduction


Author : Pretty Varghese and Ramesh P.

Pages : 1887-1889
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Abstract

Speech coding is a major issue in the area of digital signal processing. One of the most powerful speech analysis techniques is the method of linear predictive analysis. This method has become the predominant technique for representing speech for low bit rate transmission or storage. The importance of this method lies in its ability to provide extremely accurate estimates of the speech parameters and in its relative speed of computation. The basic idea behind linear predictive analysis is that the speech sample can be approximated as a linear combination of past samples. The linear predictor model provides a robust, reliable and accurate method for estimating parameters that characterize the linear, time varying system. This project aims to implement a voice excited LPC vocoder for low bit rate speech compression.

Keywords: Levinson Durbin Recursion, Linear Predictive Coding, Autocorrelation, Quantization

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)

 

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