MATLAB Implementation of MELP Algorithm (Mixed Excitation Linear Prediction) for Speech Hybrid Coding

MATLAB implementation of the MELP (Mixed Excitation Linear Prediction) algorithm for speech hybrid coding. This algorithm represents an advanced speech coding technique that employs mixed excitation linear prediction to achieve efficient speech compression and decompression. The MATLAB implementation provides a practical framework for studying and experimenting with the algorithm through comprehensive code structures including linear prediction analysis, Fourier transform operations, and voice parameter extraction. Using MATLAB's programming environment, developers can process speech signals through functions like lpc() for linear predictive coding, perform spectral analysis using fft(), and reconstruct speech waveforms with inverse filtering techniques. The implementation demonstrates key MELP components such as bandpass voicing analysis, pulse-sparse excitation generation, and adaptive spectral enhancement. MATLAB's built-in toolboxes further enhance the implementation with specialized functions for speech signal visualization, spectrogram analysis using spectrogram(), and perceptual quality evaluation. This approach enables researchers to thoroughly understand MELP's algorithmic principles and practical applications while leveraging MATLAB's extensive signal processing capabilities for improved research efficiency and experimental outcomes.