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Human and Automatic Speaker Recognition over Telecommunication Channels / by Laura Fernández Gallardo

By: Fernández Gallardo, Laura
Material type: materialTypeLabelE-bookSeries: T-Labs Series in Telecommunication ServicesPublisher: Singapore : Springer, [fecha de publicación no identificada]Copyright date: copyright 2016Edition: 1st ed.Description: 1 recurso en línea (XII, 169 páginas) : 34 ilustraciones, 32 ilustraciones color.ISBN: 9789812877277.Subject: Reconocimiento automático del lenguajeOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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
Summary: 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.
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Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK7882.S65 F476 2016 EB (Browse shelf(Opens below)) .i11602326 Acceso electrónico eBOOK .i11602326
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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

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.

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