Mixture of PLDA models in I-vector space for gender-independent speaker recognition

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2011, Pages 25-28

  Senoussaoui, Mohammed ^a,c   Kenny, Patrick ^a   Brümmer, Niko ^b   De Villiers, Edward ^b   Dumouchel, Pierre ^a,c  

^a Cent de Recherche Informatique de Montreal   (Canada)

^b AGNITIO Labs   (South Africa)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

I vectors; Mixture model; Speaker recognition

Indexed keywords

I-VECTORS; LINEAR DISCRIMINANT ANALYSIS; LOSS OF ACCURACY; MICROPHONE SPEECH; MIXTURE MODEL; SPEAKER RECOGNITION; TELEPHONE SPEECH;

SOCIAL SCIENCES;

MIXTURES;

EID: 84865783736     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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8. J. Villalba and N. Brümmer, "Towards fully Bayesian speaker recognition: Integrating out the between-speaker covariance," in Proceedings of Interspeech, Florence, Italy, Aug. 2011.
9. D. Garcia-Romero and C. Y. Espy-Wilso, "Analysis of i-vector length normalization in speaker recognition systems," in Proceedings of Interspeech, Florence, Italy, Aug. 2011.