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Volumn , Issue , 2012, Pages 157-164

Variance-spectra based normalization for i-vector standard and probabilistic linear discriminant analysis

Author keywords

I vectors; Probabilistic linear discriminant analysis; Speaker recognition

Indexed keywords

DISCRIMINANT ANALYSIS; VECTORS;

EID: 85073229756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (61)

References (18)
  • 5
    • 50649094277 scopus 로고    scopus 로고
    • Probabilistic linear discriminant analysis for inferences about identity
    • Simon J.D. Prince and James H. Elder, “Probabilistic linear discriminant analysis for inferences about identity,” in International Conference on Computer Vision. IEEE, 2007, pp. 1-8.
    • (2007) International Conference on Computer Vision , pp. 1-8
    • Prince, S.J.D.1    Elder, J.H.2
  • 9
    • 84910064792 scopus 로고    scopus 로고
    • Fully Bayesian likelihood ratio vs i-vector length normalization in speaker recognition systems
    • Niko Brummer, Jesus Villalba, and Eduardo Lleida, “Fully Bayesian likelihood ratio vs i-vector length normalization in speaker recognition systems,” in NIST SRE Analysis Workshop, 2011.
    • (2011) NIST SRE Analysis Workshop
    • Brummer, N.1    Villalba, J.2    Lleida, E.3
  • 10
    • 33947637189 scopus 로고    scopus 로고
    • Joint factor analysis of speaker and session variability: Theory and algorithms
    • P. Kenny, “Joint factor analysis of speaker and session variability: Theory and algorithms,” Tech. Rep., CRIM, 2005.
    • (2005) Tech. Rep., CRIM
    • Kenny, P.1
  • 14
    • 33947696754 scopus 로고    scopus 로고
    • SVM based speaker verification using a GMM supervector kernel and NAP variability compensation
    • William M. Campbell, Douglas E. Sturim, Douglas A. Reynolds, and Alex Solomonoff, “SVM based speaker verification using a GMM supervector kernel and NAP variability compensation,” in Proc. ICASSP, 2006, vol. 1, pp. 97-100.
    • (2006) Proc. ICASSP , vol.1 , pp. 97-100
    • Campbell, W.M.1    Sturim, D.E.2    Reynolds, D.A.3    Solomonoff, A.4
  • 15
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analyzers
    • Michael E. Tipping and Christopher M. Bishop, “Mixtures of probabilistic principal component analyzers,” Neural computation, vol. 11, no. 2, pp. 443-482, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.