On the use of X-vectors for Robust Speaker Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130767" target="_blank" >RIV/00216305:26230/18:PU130767 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11787" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11787</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Odyssey.2018-24" target="_blank" >10.21437/Odyssey.2018-24</a>
Alternative languages
Result language
angličtina
Original language name
On the use of X-vectors for Robust Speaker Recognition
Original language description
Text-independent speaker verification (SV) is currently in the process of embracing DNN modeling in every stage of SV system. Slowly, the DNN-based approaches such as end-to-end modelling and systems based on DNN embeddings start to be competitive even in challenging and diverse channel conditions of recent NIST SREs. Domain adaptation and the need for a large amount of training data are still a challenge for current discriminative systems and (unlike with generative models), we see significant gains from data augmentation, simulation and other techniques designed to overcome lack of training data. We present an analysis of a SV system based on DNN embeddings (x-vectors) and focus on robustness across diverse data domains such as standard telephone and microphone conversations, both in clean, noisy and reverberant environments. We also evaluate the system on challenging far-field data created by re-transmitting a subset of NIST SRE 2008 and 2010 microphone interviews. We compare our results with the stateof- the-art i-vector system. In general, we were able to achieve better performance with the DNN-based systems, but most importantly, we have confirmed the robustness of such systems across multiple data domains.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Odyssey 2018
ISBN
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ISSN
2312-2846
e-ISSN
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Number of pages
8
Pages from-to
168-175
Publisher name
International Speech Communication Association
Place of publication
Les Sables d´Olonne
Event location
Les Sables d'Olonne, France
Event date
Jun 26, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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