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Volumn 3, Issue , 2006, Pages 1467-1470

Discriminative adaptation for speaker verification

Author keywords

Augmented statistical models; Discriminative training; Sequence kernels; Speaker verification

Indexed keywords

GAUSSIAN DISTRIBUTION; STEREOPHONIC BROADCASTING;

EID: 44949235395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 1
    • 0033884858 scopus 로고    scopus 로고
    • Speaker verification using adapted gaussian mixture models
    • D.A. Reynolds, "Speaker verification using adapted gaussian mixture models," Digital Signal Processing, vol. 10, pp. 19-41, 2000.
    • (2000) Digital Signal Processing , vol.10 , pp. 19-41
    • Reynolds, D.A.1
  • 4
    • 33947696754 scopus 로고    scopus 로고
    • SVM based speaker verification using a GMM supervector kernel and NAP variability compensation
    • W.M. Campbell, D.Sturim, D.A. Reynolds, and A. Solomonoff, "SVM based speaker verification using a GMM supervector kernel and NAP variability compensation," in Proc. ICASSP, 2006.
    • (2006) Proc. ICASSP
    • Campbell, W.M.1    Sturim, D.2    Reynolds, D.A.3    Solomonoff, A.4
  • 6
    • 33749056612 scopus 로고    scopus 로고
    • SVMs, score-spaces and maximum margin statistical models
    • M.J.F. Gales and M.I. Layton, "SVMs, score-spaces and maximum margin statistical models," in Beyond HMM workshop, ATR, 2004, http://mi.eng.cam.ac.uk/~mjfg/BeyondHMM.pdf.
    • (2004) Beyond HMM workshop, ATR
    • Gales, M.J.F.1    Layton, M.I.2
  • 8
    • 0141702107 scopus 로고    scopus 로고
    • Feature and score normalization for speaker verification of cellular data
    • C. Barras and J.L. Gauvain, "Feature and score normalization for speaker verification of cellular data," in Proc. ICASSP, 2003.
    • (2003) Proc. ICASSP
    • Barras, C.1    Gauvain, J.L.2
  • 12
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Scholkopf, C. Burges and A. Smola, Ed. MIT Press
    • T. Joachims, "Making large-scale SVM learning practical," in Advances in Kernel Methods - Support Vector Learning, B. Scholkopf, C. Burges and A. Smola, Ed. MIT Press, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.