Human and Automatic Speaker Recognition over Telecommunication Channels
Author:   Laura Fernández Gallardo
Publisher:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9789811013195


Pages:   169
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Human and Automatic Speaker Recognition over Telecommunication Channels


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Overview

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.

Full Product Details

Author:   Laura Fernández Gallardo
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2016
Weight:   2.876kg
ISBN:  

9789811013195


ISBN 10:   9811013195
Pages:   169
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Literature Review.- Human Speaker Identification Performance under Channel Degradations.- Importance of Intelligible Phonemes for Human Speaker Recognition in Different Bandwidths.- Automatic Speaker Verification Performance Under Channel Distortions.- Detecting Speaker-Discriminative Spectral Content in Wideband for Automatic Speaker Recognition.- Relations Among Speech Quality, Human Speaker Identification, and Automatic Speaker Verification. Conclusions and Future Work.

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