Téléchargez le livre : Robust Speaker Recognition in Noisy Environments

Robust Speaker Recognition in Noisy Environments

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Éditeur :

Springer


Collection :

SpringerBriefs in Speech Technology

Paru le : 2014-06-21

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Description
This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.
Pages
139 pages
Collection
SpringerBriefs in Speech Technology
Parution
2014-06-21
Marque
Springer
EAN papier
9783319071299
EAN EPUB
9783319071305
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2017 Ko
Prix
52,74 €

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