SpringerBriefs in Speech Technology

Robust Speaker Recognition in Noisy Environments

Authors: Rao, K. Sreenivasa, Sarkar, Sourjya

  • Discusses the effect of noise, stochastic feature compensation methods based on Gaussian Mixture models (GMMs)
  • Demonstrates the standards for speaker databases and noisy environments
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  • ISBN 978-3-319-07130-5
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  • ISBN 978-3-319-07129-9
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About this book

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.

About the authors

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.

Table of contents (6 chapters)

  • Introduction

    Rao, K. Sreenivasa (et al.)

    Pages 1-12

  • Robust Speaker Verification: A Review

    Rao, K. Sreenivasa (et al.)

    Pages 13-27

  • Speaker Verification in Noisy Environments Using Gaussian Mixture Models

    Rao, K. Sreenivasa (et al.)

    Pages 29-47

  • Stochastic Feature Compensation for Robust Speaker Verification

    Rao, K. Sreenivasa (et al.)

    Pages 49-76

  • Robust Speaker Modeling for Speaker Verification in Noisy Environments

    Rao, K. Sreenivasa (et al.)

    Pages 77-114

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-07130-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-07129-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Robust Speaker Recognition in Noisy Environments
Authors
Series Title
SpringerBriefs in Speech Technology
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-07130-5
DOI
10.1007/978-3-319-07130-5
Softcover ISBN
978-3-319-07129-9
Series ISSN
2191-737X
Edition Number
1
Number of Pages
XII, 139
Number of Illustrations and Tables
6 b/w illustrations, 25 illustrations in colour
Topics