MATLAB Implementation for Speaker Recognition System with 90% Accuracy
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Resource Overview
A speaker recognition program designed to identify 10 distinct speakers with 90% recognition accuracy. Execute "laststep.m" to run the complete system, which incorporates feature extraction and pattern matching algorithms.
Detailed Documentation
This program implements a speaker recognition technique capable of accurately identifying 10 different speakers with 90% recognition accuracy. The implementation likely includes standard audio processing workflows such as MFCC (Mel-Frequency Cepstral Coefficients) feature extraction and GMM (Gaussian Mixture Models) for pattern classification. The execution process is straightforward - simply run "laststep.m", which serves as the main script coordinating the recognition pipeline. This file probably integrates preprocessing functions, feature calculation modules, and the final classification algorithm to deliver the speaker identification results.
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