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Volumn , Issue , 2014, Pages 1680-1684

Generative modelling for unsupervised score calibration

Author keywords

automatic speaker recognition; calibration; Laplace approximation; unsupervised learning

Indexed keywords

SIGNAL PROCESSING; UNCERTAINTY ANALYSIS; UNSUPERVISED LEARNING;

EID: 84905277316     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6853884     Document Type: Conference Paper
Times cited : (24)

References (17)
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  • 4
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    • The distribution of calibrated likelihood ratios
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  • 5
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    • Brümmer, N.1    Doddington, G.2
  • 9
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    • The National Institute of Standards and Technology, "The NIST year 2010 speaker recognition evaluation plan," www.itl.nist.gov/iad/mig//tests/sre/2010/ NIST-SRE10-evalplan.r6.pdf, Apr. 2010.
    • (2010) The NIST Year 2010 Speaker Recognition Evaluation Plan
  • 10
    • 84865733857 scopus 로고    scopus 로고
    • Analysis of ivector length normalization in speaker recognition systems
    • Florence, Italy, August
    • D. Garcia-Romero and C. Y. Espy-Wilson, "Analysis of ivector length normalization in speaker recognition systems," in Interspeech, Florence, Italy, August 2011, pp. 249-252.
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  • 11
  • 12
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    • The National Institute of Standards and Technology
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    • Atlanta
    • Niko Brümmer and Edward de Villiers, "The BOSARIS Toolkit: Theory, algorithms and code for surviving the new DCF," in NIST SRE'11 Analysis Workshop, Atlanta, 2011.
    • (2011) NIST SRE'11 Analysis Workshop
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.