Prosodic features based on wavelet analysis for speaker verification

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 3093-3096

  Chen, Jixu ^a   Dai, Beiqian ^a   Sun, Jun ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

PROSODIC FEATURES; SPEAKER INFORMATION; SPEAKER VERIFICATION; SPEAKER VERIFICATION SYSTEMS;

APPROXIMATION THEORY; COMPUTER SCIENCE; ERROR DETECTION; FEATURE EXTRACTION; SPEECH COMMUNICATION; SPEECH RECOGNITION;

WAVELET TRANSFORMS;

EID: 33745185991     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. B. Peskin et al "Using Prosodic and Conversational Features for High-Performance Speaker Recognition: Report from JHU WS'02",ICASSP, 2003.
3. A. Adami, R. Mihaescu, D. Reynolds, and J. Godfrey, "Modeling Prosodic Dynamics for Speaker Recognition," Proc ICASSP, 2003.
4. K. Sonmez, L. Heck, M. Weintraub and E. Shriberg, "A lognormal tied mixture model of pitch for prosody-based speaker recognition," Proc. Of the EUROSPEECH, 1997.
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6. K. Sonmez, E. Shriberg, L. Heck, and M. Weintraub, "Modeling Dynamic Prosodic Variation for Speaker Verification," In Proc. of ICSLP, Vol. 7, pp. 3189-3192, 1998.
7. "The NIST Year 2004 Speaker Recognition Evaluation Plan", http://www.nist.gov/speech/test-s/spk/2004/SRE-04_evalplan-v1a.pdf
8. D. A. Reynolds, T. F. Quatieri and R. B. Dunn, "Speaker Verification Using Adapted Gaussian Mixture Models", Digital Signal Processing, 10 (2000), pp. 19-41
9. A. Martin, G. Doddington, T. Kamm, M. Ordowski, and M. Przybocki. "The DET curve in assessment of detection task performance", In Proc. Of the EUROSPEECH, pages 1895-8, Rhodes, Greece, September 1997.