Laura Fernandez Gallardo

Human and Automatic Speaker Recognition over Telecommunication Channels

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• T-Labs Series in Telecommunication Services
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-287-726-0
• 1st ed. 2016
• Seitenzahl: 184
• Erscheinungstermin: 26. August 2015
• Englisch
• Abmessung: 241mm x 160mm x 16mm
• Gewicht: 391g
• ISBN-13: 9789812877260
• ISBN-10: 9812877266
• Artikelnr.: 43171182

Inhaltsangabe

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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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.