Speech Recognition Algorithm

This Chinese-developed speech recognition algorithm is implemented using MATLAB programming environment. The algorithm features detailed inline code comments that facilitate technical communication and comprehension. Through this implementation, users can perform speech signal recognition and analysis, providing robust tools and methodologies for speech processing research and applications. The codebase employs key digital signal processing techniques including Mel-Frequency Cepstral Coefficients (MFCC) feature extraction, dynamic time warping for temporal alignment, and pattern matching algorithms for classification. Researchers can utilize this algorithm for speech recognition studies, while developers have the flexibility to modify and optimize the code according to specific application requirements. The implementation structure includes modular functions for pre-processing, feature extraction, model training, and recognition phases, making it suitable for both educational and industrial applications. This algorithm aims to support academic and professional work in speech technology domains.