EAN: 9783319071299

SPRINGERBRIEFS IN ELECTRICAL AND COMPUTER ENGIN...

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.

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