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Volumn , Issue , 2012, Pages 47-54

Bayesian adaptation of PLDA based speaker recognition to domains with scarce development data

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS;

EID: 85073226856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (15)
  • 2
    • 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,” IEEE International Conference on Computer Vision,, no. iii, pp. 1-8, 2007.
    • (2007) IEEE International Conference on Computer Vision , Issue.3 , pp. 1-8
    • Prince, S.J.D.1    Elder, J.H.2
  • 3
    • 84858973723 scopus 로고    scopus 로고
    • Bayesian speaker verification with heavy-tailed priors
    • Brno, Czech Republic
    • Patrick Kenny, “Bayesian Speaker Verification with Heavy-Tailed Priors,” in Odyssey Speaker and Language Recognition Workshop, Brno, Czech Republic, 2010.
    • (2010) Odyssey Speaker and Language Recognition Workshop
    • Kenny, P.1
  • 5
    • 84865783736 scopus 로고    scopus 로고
    • Mixture of PLDA models in i-vector space for gender-independent speaker recognition
    • Mohammed Senoussaoui, Patrick Kenny, Niko Brummer, Edward De Villiers, and Pierre Dumouchel, “Mixture of PLDA Models in I-Vector Space for Gender-Independent Speaker Recognition,” Interspeech 2011, pp. 1-19, 2011.
    • (2011) Interspeech 2011 , pp. 1-19
    • Senoussaoui, M.1    Kenny, P.2    Brummer, N.3    De Villiers, E.4    Dumouchel, P.5
  • 7
    • 84865733857 scopus 로고    scopus 로고
    • Analysis of I-vector Length Normalization in Speaker Recognition Systems
    • Florence
    • Daniel Garcia-Romero and Carol Y Espy-Wilson, “Analysis of I-vector Length Normalization in Speaker Recognition Systems,” in Interspeech 2011, Florence, 2011, pp. 249-252.
    • (2011) Interspeech 2011 , pp. 249-252
    • Garcia-Romero, D.1    Espy-Wilson, C.Y.2
  • 8
    • 84905217641 scopus 로고    scopus 로고
    • Fully Bayesian Likelihood Ratios vs i-vector Length Normalization in Speaker Recognition Systems
    • Atlanta
    • Jesús Villalba, Niko Brummer, and Eduardo Lleida, “Fully Bayesian Likelihood Ratios vs i-vector Length Normalization in Speaker Recognition Systems,” in SRE11 Speaker Recognition Workshop, Atlanta, 2011.
    • (2011) SRE11 Speaker Recognition Workshop
    • Villalba, J.1    Brummer, N.2    Lleida, E.3
  • 9
    • 84910093308 scopus 로고    scopus 로고
    • Towards fully Bayesian speaker recognition: Integrating out the between-speaker covariance
    • Florence
    • Jesús Villalba and Niko Brummer, “Towards Fully Bayesian Speaker Recognition: Integrating Out the Between-Speaker Covariance,” in Interspeech 2011, Florence, 2011, pp. 28-31.
    • (2011) Interspeech 2011 , pp. 28-31
    • Villalba, J.1    Brummer, N.2
  • 13
    • 84864038804 scopus 로고    scopus 로고
    • Inferring a Gaussian distribution
    • MIT media Lab
    • Thomas Minka, “Inferring a Gaussian distribution,” Tech. Rep., MIT media Lab, 1998.
    • (1998) Tech. Rep.
    • Minka, T.1
  • 15
    • 85073109470 scopus 로고    scopus 로고
    • An i-vector Extractor Suitable for Speaker Recognition with both Microphone and Telephone Speech
    • Brno, Czech Republic
    • Mohammed Senoussaoui, Patrick Kenny, Najim Dehak, and Pierre Dumouchel, “An i-vector Extractor Suitable for Speaker Recognition with both Microphone and Telephone Speech,” in Odyssey Speaker and Language Recognition Workshop, Brno, Czech Republic, 2010.
    • (2010) Odyssey Speaker and Language Recognition Workshop
    • Senoussaoui, M.1    Kenny, P.2    Dehak, N.3    Dumouchel, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.