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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6692

Titre: A new speaker verification algorithm based on identification results
Auteur(s): Khettaoui, Billal
Dahimene, Abdelhakim
Mots-clés: EM
GMM
MFCC
VAD
Date de publication: 2017
Editeur: IEEE
Collection/Numéro: 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B);
Résumé: In this paper, a text independent speaker recognition system based on Gaussian mixture models (GMM) was developed with a specific focus on the use of a voice activated detector (VAD) algorithm in the training and testing. At the training level, a modified estimation/maximization (EM) algorithm is used. It is less prone to get trapped around a local maximum and so, it will have more chance to converge to the global maximum of the model. A new method of background speaker's model selection based on prior knowledge of the identification results is developed
URI/URL: https://ieeexplore.ieee.org/document/8192139
DOI: 10.1109/ICEE-B.2017.8192139
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6692
ISBN: 978-1-5386-0687-2
Electronic ISBN:978-1-5386-0686-5
Collection(s) :Communications Internationales

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