Human and Automatic Speaker Recognition over Telecommunication Channels
(Sprache: Englisch)
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...
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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.Inhaltsverzeichnis zu „Human and Automatic Speaker Recognition over Telecommunication Channels “
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.Bibliographische Angaben
- Autor: Laura Fernández Gallardo
- 2016, Softcover reprint of the original 1st ed. 2016, XII, 169 Seiten, Maße: 15,7 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811013195
- ISBN-13: 9789811013195
Sprache:
Englisch
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