Speech Recognition MATLAB Program with Implementation Details

After considerable research and development effort, I have created a MATLAB program for speech recognition applications. This implementation includes key audio processing stages such as pre-emphasis filtering, frame blocking, windowing, and feature extraction using MFCC (Mel-Frequency Cepstral Coefficients) algorithms. The program incorporates pattern matching components that utilize dynamic time warping (DTW) or hidden Markov models (HMM) for speech pattern recognition. For developers and researchers working in audio signal processing, this program provides a practical foundation with modular code structure that allows customization of parameters like frame size, overlap percentage, and feature vector dimensions. The implementation demonstrates complete workflow from audio input preprocessing to classification decision making, making it valuable for both learning purposes and practical speech recognition applications. Users can benefit from the well-documented code structure that facilitates understanding of core speech recognition methodologies.