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Cohort selection for text-dependent speaker verification score normalization

  • Houssemeddine Khemiri
  • , Dijana Petrovska-Delacretaz
  • Université Paris-Saclay

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Résumé

In this paper a speaker dependent cohort selection for T-norm score normalization is proposed in the context of text-dependent speaker verification. The goal of the proposed technique is to find a set of cohort speakers who are close to the target speaker. In order to properly select the subset of speakers for the normalization, a distance between each target speaker model and the the available normalization models is computed and the nearest models are chosen to represent the cohort set for that target model. The proposed system is evaluated on Part1 of the RSR2015 database. With the proposed normalization method a relative improvement of 71% in terms of the Equal Error Rater (EER) is achieved.

langue originaleAnglais
titre2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages689-692
Nombre de pages4
ISBN (Electronique)9781467385268
Les DOIs
étatPublié - 26 juil. 2016
Modification externeOui
Evénement2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 - Monastir, Tunisie
Durée: 21 mars 201624 mars 2016

Série de publications

Nom2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016

Une conférence

Une conférence2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016
Pays/TerritoireTunisie
La villeMonastir
période21/03/1624/03/16

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