Book Details
Format
Paperback / Softback
Book Series
SpringerBriefs in Speech Technology
ISBN-10
3319071297
ISBN-13
9783319071299
Edition
2014 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
Jul 17th, 2014
Print length
139 Pages
Product Classification:
Imaging systems & technologyImaging systems and technology
Ksh 8,100.00
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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.
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