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Human and Automatic Speaker Recognition over Telecommunication Channels

Laura Fernández Gallardo (Autor)

Buch | Hardcover

169 Seiten

2015 | 1st ed. 2016
Springer Verlag, Singapore
978-981-287-726-0 (ISBN)

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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.

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.

Reihe/Serie	T-Labs Series in Telecommunication Services
Zusatzinfo	XII, 169 p.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Software Entwicklung ► User Interfaces (HCI)
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
Schlagworte	Channel Distortions • Electro-acoustic User Interfaces • Gaussian Mixture Models-Universal Background Model • Human Speaker Identification • i-vectors • Joint Factor Analysis • speaker verification
ISBN-10	981-287-726-6 / 9812877266
ISBN-13	978-981-287-726-0 / 9789812877260
Zustand	Neuware