MATLAB Implementation of 0-9 Speech Recognition
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This project implements a Chinese-based digital speech recognition system for numbers 0-9 using MATLAB. The system supports comprehensive functionality including both model training and real-time recognition processes. It employs signal processing algorithms to extract acoustic features such as Mel-Frequency Cepstral Coefficients (MFCCs) from voice samples, and utilizes pattern recognition techniques for classification. The implementation includes key functions for audio preprocessing, feature extraction, model training (using algorithms like Hidden Markov Models or Gaussian Mixture Models), and recognition decision logic. Users can leverage this system to conduct experiments and research in speech recognition, making it a valuable tool for various voice-related projects and applications. The code structure allows for customization of training parameters and recognition thresholds to optimize performance for different speakers and recording conditions.
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