Speech LPC Feature Extraction

MATLAB 785B 274 views 0 downloads 1 credits
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Resource Overview

Implementation of speech LPC feature extraction using MATLAB, ready-to-use with direct speech input, featuring clear and effective analysis of feature coefficients and errors in simulation diagrams

Detailed Documentation

This implementation utilizes MATLAB for Linear Predictive Coding (LPC) feature extraction from speech signals, where the extracted feature coefficients can be directly applied in various speech processing applications. The algorithm works by modeling the vocal tract as a linear filter and estimating its parameters through autoregressive analysis. Key MATLAB functions like lpc() are employed to calculate predictor coefficients, while visualization tools help generate simulation diagrams that clearly demonstrate the analysis of feature coefficients and prediction errors. The implementation includes error calculation between original and reconstructed signals, providing effective validation of the LPC model's accuracy through spectral comparison and residual analysis.

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