Speech Signal Reconstruction Based on Linear Predictive Coding (LPC)
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Resource Overview
Speech signal reconstruction based on Linear Predictive Coding (LPC), featuring a complete MATLAB implementation. The code covers speech signal acquisition, LP coefficient computation, order selection strategies, and prediction error curve visualization. The program is efficient and reliable for practical applications, offering insights into LPC algorithm design and performance evaluation.
Detailed Documentation
This document provides a detailed explanation of speech signal reconstruction using Linear Predictive Coding (LPC). We include a comprehensive MATLAB implementation that demonstrates key processing stages: speech signal acquisition through audio input functions, LPC coefficient calculation using the levinson or lpc algorithms, optimal model order selection via criteria like Akaike Information Criterion (AIC), and visualization of prediction error curves to evaluate reconstruction accuracy. The robustness and computational efficiency of LPC make it a widely adopted technique in speech processing applications. This resource aims to deepen understanding of LPC methodologies and enhance practical implementation skills for improved speech reconstruction quality and precision.
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