Robust speaker identification based on t-distribution mixture model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3809 LNAI, Issue , 2005, Pages 896-899

  Lee, Younjeong ^a   Hahn, Hernsoo ^a   Han, Youngjoon ^a   Lee, Joohun ^b  

^a Soongsil University   (South Korea)

^b Dong Ah Institute of Media and Arts   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MATHEMATICAL MODELS; PERFORMANCE; ROBUSTNESS (CONTROL SYSTEMS);

GAUSSIAN DISTRIBUTION; GAUSSIAN MIXTURE MODEL(GMM); SPEAKER IDENTIFICATION;

SPEECH RECOGNITION;

EID: 33745609280     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11589990_105     Document Type: Conference Paper

References (7)

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3. Lee, J., Rheem, J. and Lee, K. Y.: Robust Speaker Recognition Against Utterance Variations, LNCS2668, (2003) 624-630
4. Huber, P. J.: Robust Statistics. New York: Wiley, 1981
5. Peel, D., McLachlan, G.J. : Robust mixture modeling using the t-distribution, Statistics and computing, 10, (2000) 339-348
6. McLachlan, G.J. and Peel, D., : Finite Mixture Models, New York ;Wiley, 2000
7. Wang, H., Zhang, Q., Luo, B. and Wei, S. :Robust mixture modeling using multivariate t-distribution with missing information, Pattern Recognition Letters, 25, (2004) 701-710