Robust Speaker Recognition in Noisy Environments - SpringerBriefs in Speech Technology - K. Sreenivasa Rao - Books - Springer International Publishing AG - 9783319071299 - July 17, 2014
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K. Sreenivasa Rao
Robust Speaker Recognition in Noisy Environments - SpringerBriefs in Speech Technology 2014 edition

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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.

151 pages, 6 black & white illustrations, 25 colour illustrations, 19 black & white tables, biograph

Media Books     Paperback Book   (Book with soft cover and glued back)
Released July 17, 2014
ISBN13 9783319071299
Publishers Springer International Publishing AG
Pages 139
Dimensions 155 × 235 × 8 mm   ·   222 g
Language English  

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