LPC Analysis of Speech Signals with MATLAB Implementation

This project presents a comprehensive MATLAB implementation for linear predictive coding (LPC) analysis of speech signals, complete with a graphical user interface (GUI) and included test data. LPC analysis is a fundamental speech signal processing technique that analyzes and models speech signals to extract vocal tract characteristics such as formant frequencies and prediction coefficients. The implementation utilizes MATLAB's signal processing toolbox functions including lpc() for coefficient calculation and filter() for signal reconstruction. The GUI interface is built using MATLAB's App Designer, providing intuitive controls for signal input, parameter adjustment, and visualization of LPC spectra and residual signals. The package includes sample speech datasets in .wav format for immediate testing and validation. Through this complete solution, users can gain practical understanding of LPC algorithm implementation, including frame-based processing, autocorrelation method for coefficient computation, and spectral envelope extraction techniques. The code structure demonstrates proper pre-emphasis filtering, framing and windowing operations, and Levinson-Durbin recursion implementation for efficient LPC analysis.