|
Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >
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
|
Fichier(s) constituant ce document :
|
Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.
|
