Human and Automatic Speaker Recognition over Telecommunication Channels

  • Laura Fernández Gallardo

Part of the T-Labs Series in Telecommunication Services book series (TLABS)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Laura Fernández Gallardo
    Pages 1-4
  3. Laura Fernández Gallardo
    Pages 5-33
  4. Laura Fernández Gallardo
    Pages 145-150
  5. Back Matter
    Pages 151-169

About this book

Introduction

This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of communication channels of extended bandwidth, together with an insight into how speaker-specific characteristics of speech are preserved through different transmissions. It provides sufficient motivation for considering speaker recognition as a criterion for the migration from narrowband to enhanced bandwidths, such as wideband and super-wideband.

Keywords

Channel Distortions Electro-acoustic User Interfaces Gaussian Mixture Models-Universal Background Model Human Speaker Identification Joint Factor Analysis Speaker Verification i-vectors

Authors and affiliations

  • Laura Fernández Gallardo
    • 1
  1. 1.University of CanberraCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-287-727-7
  • Copyright Information Springer Science+Business Media Singapore 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-287-726-0
  • Online ISBN 978-981-287-727-7
  • Series Print ISSN 2192-2810
  • Series Online ISSN 2192-2829
  • About this book
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