Parameter Extraction Using MATLAB's Built-in LPC Program

This guide demonstrates how to utilize MATLAB's built-in Linear Predictive Coding (LPC) program for parameter extraction from speech signals, enabling effective analysis and processing. Linear Predictive Coding is a fundamental signal processing technique that models the vocal tract system to analyze and process signals, facilitating speech signal transformation and optimization. The implementation typically involves using MATLAB's lpc function, which computes the LPC coefficients by solving the autocorrelation equations using the Levinson-Durbin recursion algorithm. These coefficients represent the spectral envelope of the speech signal and can be used for various applications including signal compression, recognition, and synthesis. The technology has broad applications in speech signal compression, recognition systems, and synthetic speech generation, holding significant research value and promising application prospects. Key implementation steps include pre-emphasis filtering, frame blocking, windowing, and LPC coefficient calculation using MATLAB's signal processing toolbox functions.