MATLAB Implementation for Speech Analysis with Gammatone Filterbank

This highly practical speech analysis program implements a complete gammatone filterbank system for both decomposition and reconstruction processes. The implementation includes critical components such as gammatone filter coefficient calculation, frequency band partitioning based on equivalent rectangular bandwidth (ERB) scales, and time-domain signal processing. Through this program, users can gain deeper understanding of speech analysis concepts including auditory filter modeling, frequency domain analysis, and signal reconstruction techniques. The code demonstrates key algorithms like impulse response generation for gammatone filters, overlap-add methods for signal processing, and spectral feature extraction. Both beginners and professionals can benefit from the practical implementation that covers fundamental speech analysis principles and advanced research applications. The program serves as an excellent tool for hands-on experience in speech processing, auditory modeling, and developing practical skills in MATLAB-based signal analysis.