MATLAB-Based Speech Recognition System
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This straightforward MATLAB implementation demonstrates a basic speech recognition system using signal comparison techniques. The algorithm processes input speech signals through feature extraction (potentially using MFCCs or spectral analysis) and compares them against pre-registered voice templates stored in the system. When the correlation coefficient between the input and reference signals exceeds a predefined threshold, the system generates an "access granted" authorization signal. Conversely, if the voice patterns don't match the stored templates within acceptable tolerance limits, the system triggers an "access denied" output. Key functions likely involve audio input processing via audioread(), signal normalization, and cross-correlation analysis using MATLAB's xcorr function for similarity measurement.
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