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|a 9789812877277
|9 978-981-287-727-7
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|a 10.1007/978-981-287-727-7
|2 doi
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|a 621.382
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|a Fernández Gallardo, Laura.
|e author.
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|a Human and Automatic Speaker Recognition over Telecommunication Channels
|h [electronic resource] /
|c by Laura Fernández Gallardo.
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|a 1st ed. 2016.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2016.
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|a XII, 169 p. 34 illus., 32 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
|2 rda
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|a T-Labs Series in Telecommunication Services,
|x 2192-2810
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|a 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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|a 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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|a Engineering.
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|a Engineering.
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|a Signal, Image and Speech Processing.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9789812877260
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|a T-Labs Series in Telecommunication Services,
|x 2192-2810
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|u http://dx.doi.org/10.1007/978-981-287-727-7
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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