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Volumn 13, Issue 5, 2006, Pages 308-311

Support vector machines using GMM supervectors for speaker verification

Author keywords

Gaussian mixture models (GMMs); Speaker recognition; Support vector machines (SVMs)

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; SPEECH RECOGNITION;

EID: 33645887246     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2006.870086     Document Type: Article
Times cited : (1008)

References (16)
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    • Collobert, R.1    Bengio, S.2
  • 8
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    • "A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications"
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    • P. J. Moreno, P. P. Ho, and N. Vasconcelos, "A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications," in Advances in Neural Information Processing Systems 16, S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press, 2004.
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  • 9
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    • "Speaker diarization using bottom-up clustering based on a parameter-derived distance between adapted GMMS"
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.