Robust Speaker Recognition in Noisy Environments

Name: Robust Speaker Recognition in Noisy Environments
SKU: 22333441
Price: 138.99 AUD
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Format:

Paperback / softback

Series:

Springerbriefs in Speech Technology

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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.

Author Biography:

K. Sreenivasa Rao, Associate Professor, School of Information Technology, Indian Institute of Technology Kharagpur (IIT Kharagpur). Sourjya Sarkar is a graduate student at the Indian Institute of Technology Kharagpur.

Release date Australia

July 17th, 2014

Author

Audience

Professional & Vocational

Illustrations

25 Illustrations, color; 6 Illustrations, black and white; XII, 139 p. 31 illus., 25 illus. in color.

Pages

139

Series

Springerbriefs in Speech Technology

Dimensions

155x235x8

ISBN-13

9783319071299

Product ID

22333441

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