ENGLISH

Robust Speaker Recognition in Noisy Environments

By K. Sreenivasa Rao , Sourjya Sarkar (auth.)

Book information

Publisher
Springer International Publishing
Year
2014
ISBN
978-3-319-07129-9, 978-3-319-07130-5
DOI
10.1007/978-3-319-07130-5
Language
english
Format
PDF
Filesize
5 MB (4777754 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering - SpringerBriefs in Speech Technology
Edition
1
Pages
139\149
Time added
2014-11-10 20:00:00
Image and Speech ProcessingSignal

Description

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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