Speech Spectrum Analysis with MATLAB Implementation

This resource provides MATLAB source codes for speech processing, with comprehensive implementations of spectrum analysis and related functionalities. The codebase demonstrates practical approaches for reading audio files (using functions like audioread()), performing signal processing operations, and implementing spectrum analysis through FFT algorithms. Key implementations include windowing techniques (Hamming/Hanning windows), power spectral density estimation, and spectrogram visualization using MATLAB's signal processing toolbox. The programs also incorporate fundamental speech processing algorithms such as linear predictive coding (LPC) for speech recognition and overlap-add methods for speech synthesis. These implementations serve as educational examples for understanding core speech processing concepts while providing a foundation for further research and development in audio signal processing. The code includes comments explaining algorithm parameters and optimal usage scenarios for different speech processing applications.