Robust Speaker Recognition in Noisy Environments (SpringerBriefs in Electrical and Computer Engineering) / K. Sreenivasa Rao, Sourjya Sarkar

Book Cover Robust Speaker Recognition in Noisy Environments (SpringerBriefs in Electrical and Computer Engineering)
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/ K. Sreenivasa Rao, Sourjya Sarkar
Publisher: Springer
Availability:Usually ships in 24 hours
Sales Rank: 4201331
ISBN-10: 3319071297
ISBN-13: 9783319071299


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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