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Volumn , Issue , 2013, Pages 7644-7648

Probabilistic linear discriminant analysis of i-vector posterior distributions

Author keywords

i vector; PLDA; Speaker recognition

Indexed keywords

EXTRACTION PROCESS; I VECTORS; PLDA; POSTERIOR DISTRIBUTIONS; PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS; RECOGNITION ACCURACY; SEGMENT DURATION; SPEAKER RECOGNITION;

EID: 84890465306     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639150     Document Type: Conference Paper
Times cited : (63)

References (10)
  • 2
    • 0033884858 scopus 로고    scopus 로고
    • Speaker verification using adapted gaussian mixture models
    • D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted Gaussian Mixture Models," Digital Signal Processing, vol. 10, no. 1-3, pp. 31-44, 2000.
    • (2000) Digital Signal Processing , vol.10 , Issue.1-3 , pp. 31-44
    • Reynolds, D.A.1    Quatieri, T.F.2    Dunn, R.B.3
  • 6
    • 84890444450 scopus 로고    scopus 로고
    • The NIST year 2010 speaker recognition evaluation plan
    • "The NIST year 2010 speaker recognition evaluation plan," Available at http://www.itl.nist.gov/iad/mig/ tests/sre/2010/NIST-SRE10- evalplan.r6.pdf.
  • 7
    • 84865733857 scopus 로고    scopus 로고
    • Analysis of i-vector length normalization in speaker recognition systems
    • D. Garcia-Romero and C. Y. Espy-Wilson, "Analysis of i-vector length normalization in speaker recognition systems," in Proc. of Interspeech 2011, 2011, pp. 249-252.
    • (2011) Proc. of Interspeech 2011 , pp. 249-252
    • Garcia-Romero, D.1    Espy-Wilson, C.Y.2
  • 10
    • 44949114401 scopus 로고    scopus 로고
    • Within-class covariance normalization for SVM-based speaker recognition
    • A. Hatch, S. Kajarekar, and A. Stolcke, "Within-class covariance normalization for SVM-based speaker recognition," in Proceedings of ICSLP 2006, 2006, pp. 1471-1474.
    • (2006) Proceedings of ICSLP 2006 , pp. 1471-1474
    • Hatch, A.1    Kajarekar, S.2    Stolcke, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.