LPC Linear Predictive Coding MATLAB Implementation with Data and Speech Files

Resource Overview

MATLAB implementation of Linear Predictive Coding (LPC) featuring original data files and synthesized speech output. The well-structured code demonstrates core LPC algorithms through clear voice analysis and synthesis procedures, making it ideal for speech processing education and research.

Detailed Documentation

This implementation presents LPC (Linear Predictive Coding), a fundamental speech analysis and synthesis technique. The MATLAB code models speech signals to extract vocal features and regenerate synthesized speech, utilizing key functions like lpc() for coefficient calculation and filter() for signal reconstruction. The package includes original data files and synthesized speech outputs for comparative analysis. By executing this program, users can examine LPC's core mechanics through practical examples, with the algorithm implementing linear prediction by modeling vocal tract transfer functions. The intuitive code structure demonstrates frame-based processing, autocorrelation analysis, and Levinson-Durbin recursion for efficient coefficient computation. Suitable for both speech processing beginners and researchers, this implementation provides hands-on experience with LPC technology, enabling deeper understanding and practical application in future projects and studies.