Robust Speaker Recognition in Noisy Environments

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Synopsis

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.

Book details

Edition:
2014
Series:
SpringerBriefs in Speech Technology
Author:
K. Sreenivasa Rao, Sourjya Sarkar
ISBN:
9783319071305
Related ISBNs:
9783319071299
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-08-31
Usage restrictions:
Copyright
Copyright date:
2014
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Nonfiction, Technology