A Supervised Text-Independent Speaker Recognition Approach

We provide a supervised speech-independent voice recognition technique in this paper. In the feature extraction stage we propose a mel-cepstral based approach. Our feature vector classification method uses a special nonlinear metric, derived from the Hausdorff distance for sets, and a minimum mean distance classifier.

• Tudor Barbu

• Text-independent speaker recognition
• mel cepstral analysis
• speech feature vector
• Hausdorff-based metric
• supervised classification.

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