Robust Speaker Recognition in Noisy Environments

  • K. Sreenivasa Rao
  • Sourjya Sarkar

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-xii
  2. K. Sreenivasa Rao, Sourjya Sarkar
    Pages 1-12
  3. K. Sreenivasa Rao, Sourjya Sarkar
    Pages 13-27
  4. K. Sreenivasa Rao, Sourjya Sarkar
    Pages 29-47
  5. K. Sreenivasa Rao, Sourjya Sarkar
    Pages 49-76
  6. K. Sreenivasa Rao, Sourjya Sarkar
    Pages 77-114
  7. K. Sreenivasa Rao, Sourjya Sarkar
    Pages 115-118
  8. Back Matter
    Pages 119-139

About this book

Introduction

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.

Keywords

Feature Compensation using Multiple Background Models Robust Speaker Recognition in Noisy Environment Robust Speaker Recognition using I-vectors Robust Speaker Verification using GMM-SVM Framework Speaker Recognition in Noisy Background Speaker Recognition in Varying Background Speaker Verification in Noisy Background Speaker Verification using Super-vectors Stochastic Feature Compensation for Robust Speaker Recognition Total Variability Modeling for Robust Speaker Recognition

Authors and affiliations

  • K. Sreenivasa Rao
    • 1
  • Sourjya Sarkar
    • 2
  1. 1.School of Information TechnologyIndian Institute of TechnologyKharagpurIndia
  2. 2.Indian Institute of Technology KharagpurKharagpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07130-5
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-07129-9
  • Online ISBN 978-3-319-07130-5
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book