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portada Robust Speaker Recognition in Noisy Environments (Springerbriefs in Speech Technology)
Type
Physical Book
Publisher
Year
2014
Language
English
Pages
152
Format
Paperback
ISBN13
9783319071299
Edition No.
2014

Robust Speaker Recognition in Noisy Environments (Springerbriefs in Speech Technology)

K. Sreenivasa Rao; Sourjya Sarkar (Author) · Springer · Paperback

Robust Speaker Recognition in Noisy Environments (Springerbriefs in Speech Technology) - K. Sreenivasa Rao; Sourjya Sarkar

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Synopsis "Robust Speaker Recognition in Noisy Environments (Springerbriefs in Speech Technology) "

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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