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Human and Automatic Speaker Recognition over Telecommunication Channels

  • Book
  • © 2016

Overview

  • Addresses the evaluation of the human and the automatic performances under different channel distortions
  • Demonstrates the benefits of communication channels of extended bandwidth
  • Delivers an insight into how speaker-specific characteristics of speech are preserved through different transmissions
  • Motivates speaker recognition as a criterion for the migration from narrowband to enhanced bandwidths, such as wideband and super-wideband
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (8 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • University of Canberra, Canberra, Australia

    Laura Fernández Gallardo

Bibliographic Information

  • Book Title: Human and Automatic Speaker Recognition over Telecommunication Channels

  • Authors: Laura Fernández Gallardo

  • Series Title: T-Labs Series in Telecommunication Services

  • DOI: https://doi.org/10.1007/978-981-287-727-7

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media Singapore 2016

  • Hardcover ISBN: 978-981-287-726-0Published: 26 August 2015

  • Softcover ISBN: 978-981-10-1319-5Published: 23 August 2016

  • eBook ISBN: 978-981-287-727-7Published: 17 August 2015

  • Series ISSN: 2192-2810

  • Series E-ISSN: 2192-2829

  • Edition Number: 1

  • Number of Pages: XII, 169

  • Topics: Signal, Image and Speech Processing

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