Robust Speaker Recognition in Noisy Environments - SpringerBriefs in Speech Technology - K. Sreenivasa Rao - Libros - Springer International Publishing AG - 9783319071299 - 17 de julio de 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

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 17 de julio de 2014
ISBN13 9783319071299
Editores Springer International Publishing AG
Páginas 139
Dimensiones 155 × 235 × 8 mm   ·   222 g
Lengua Inglés  

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