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150908 ||| eng |
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|a 9789812877277
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|a Fernández Gallardo, Laura
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| 245 |
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|a Human and Automatic Speaker Recognition over Telecommunication Channels
|h Elektronische Ressource
|c by Laura Fernández Gallardo
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| 250 |
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|a 1st ed. 2016
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2016, 2016
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| 300 |
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|a XII, 169 p. 34 illus., 32 illus. in color
|b online resource
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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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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Signal processing
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a T-Labs Series in Telecommunication Services
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| 028 |
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|a 10.1007/978-981-287-727-7
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| 856 |
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|u https://doi.org/10.1007/978-981-287-727-7?nosfx=y
|x Verlag
|3 Volltext
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|a 621.382
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| 520 |
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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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