Článek ve sborníku konferenceNOVOTNÝ Ondřej, MATĚJKA Pavel, GLEMBEK Ondřej, PLCHOT Oldřich, GRÉZL František, BURGET Lukáš a ČERNOCKÝ Jan. Analysis of the DNN-Based SRE Systems in Multi-language Conditions. In: Proceedings of SLT 2016. San Diego: IEEE Signal Processing Society, 2016, s. 199-204. ISBN 978-1-5090-4903-5. Dostupné z: http://ieeexplore.ieee.org/document/7846265/ | Jazyk publikace: | angličtina |
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Název publikace: | Analysis of the DNN-Based SRE Systems in Multi-language Conditions |
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Název (cs): | Analýza systémů pro rozpoznávání mluvčího založených na DNN v multi-lingválních podmínkách |
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Strany: | 199-204 |
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Sborník: | Proceedings of SLT 2016 |
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Konference: | 2016 IEEE Workshop on Spoken Language Technology |
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Místo vydání: | San Diego, US |
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Rok: | 2016 |
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URL: | http://ieeexplore.ieee.org/document/7846265/ |
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ISBN: | 978-1-5090-4903-5 |
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DOI: | 10.1109/slt.2016.7846265 |
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Vydavatel: | IEEE Signal Processing Society |
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URL: | http://www.fit.vutbr.cz/research/groups/speech/publi/2016/novotny_slt2016_0000199.pdf [PDF] |
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Klíčová slova |
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DNN, Multi-Language, Speaker Recognition |
Anotace |
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Článek pojednává o analýze systémů pro rozpoznávání mluvčího založených na DNN v multi-lingválních podmínkách. |
Abstrakt |
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This paper analyzes the behavior of our state-of-the-art Deep
Neural Network/i-vector/PLDA-based speaker recognition systems
in multi-language conditions. On the "Language Pack" of the
PRISM set, we evaluate the systems performance using the NISTs
standard metrics. We show that not only the gain from using DNNs
vanishes, nor using dedicated DNNs for target conditions helps, but
also the DNN-based systems tend to produce de-calibrated scores
under the studied conditions. This work gives suggestions for directions
of future research rather than any particular solutions to these
issues. |
BibTeX: |
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@INPROCEEDINGS{
author = {Ond{\v{r}}ej Novotn{\'{y}} and Pavel Mat{\v{e}}jka
and Ond{\v{r}}ej Glembek and Old{\v{r}}ich Plchot
and Franti{\v{s}}ek Gr{\'{e}}zl and
Luk{\'{a}}{\v{s}} Burget and Jan
{\v{C}}ernock{\'{y}}},
title = {Analysis of the DNN-Based SRE Systems in
Multi-language Conditions},
pages = {199--204},
booktitle = {Proceedings of SLT 2016},
year = {2016},
location = {San Diego, US},
publisher = {IEEE Signal Processing Society},
ISBN = {978-1-5090-4903-5},
doi = {10.1109/slt.2016.7846265},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=11309}
} |
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