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Speaker Verification. Seth McNeill 18 April 2003 Presentation for EEL6586 Automatic Speech Processing. Outline of things to come. 1) Who am I? 2) Verification vs. ID 3) Features 4) Modeling 5) My Project. 2/12. Who am I?. First Year Graduate Student First Year at UF
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Speaker Verification Seth McNeill 18 April 2003 Presentation for EEL6586 Automatic Speech Processing
Outlineof things to come 1) Who am I? 2) Verification vs. ID 3) Features 4) Modeling 5) My Project 2/12
Who am I? • First Year Graduate Student • First Year at UF • From SE Washington State 3/12
Speaker VerificationvsSpeaker ID Verification – Are you an imposter? ID – Which of N speakers are you? 4/12
Features • Mel-Cepstrum, D Cepstrum, Cepstral Mean Subtraction • Glottal Flow Derivative • Liljencrants-Fant (LF) model • Sub-Cepstrum 96% 95% 74% 5/12
Gaussian Mixture Model (GMM) • Loses Temporal Data • Person vs. “Background” • Person vs. Threshold 6/12
GMM (continued) 7/12
My Project • C++ Implementation • Energy Based Endpoint Detection • Mel-Cepstrum, D Cepstrum Coefficients • Single Window with Nearest Neighbor • Muliple Window with GMM 8/12
Current Progress • Data Capture from Sound Card • Endpoint Detection 9/12
Demo 10/12
Future Progress • Feature Extraction • Modeling • Motion Detection • Text-to-Speech • Visual Verification 11/12
Speaker Verification Questions or Comments? 12/12
