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MATĚJKA, P. SILNOVA, A. SLAVÍČEK, J. MOŠNER, L. PLCHOT, O. KLČO, M. PENG, J. STAFYLAKIS, T. BURGET, L.
Originální název
Description and Analysis of ABC Submission to NIST LRE 2022
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper summarizes our efforts in the NIST Language Recognition Evaluations 2022 resulting in systems providing competitive performance. We provide both the description and analysis of the systems. We describe what data we have used to train our models, and we follow with embedding extractors and back-end classifiers. After covering the architecture, we concentrate on post-evaluation analysis. We compare different topologies of DNN, different backend classifiers, and the impact of the data used to train them. We also report results with XLS-R pre-trained models. We present the performance of the systems in the Fixed condition, where participants are required to use only predefined data sets, and also in the Open condition allowing to use any data to train the systems.
Klíčová slova
nguage detection, language recognition, embedding extractor, LRE, NIST
Autoři
MATĚJKA, P.; SILNOVA, A.; SLAVÍČEK, J.; MOŠNER, L.; PLCHOT, O.; KLČO, M.; PENG, J.; STAFYLAKIS, T.; BURGET, L.
Vydáno
20. 8. 2023
Nakladatel
International Speech Communication Association
Místo
Dublin
ISSN
1990-9772
Periodikum
Proceedings of Interspeech
Ročník
2023
Číslo
08
Stát
Francouzská republika
Strany od
511
Strany do
515
Strany počet
5
URL
https://www.isca-speech.org/archive/pdfs/interspeech_2023/matejka23_interspeech.pdf
BibTex
@inproceedings{BUT185574, author="MATĚJKA, P. and SILNOVA, A. and SLAVÍČEK, J. and MOŠNER, L. and PLCHOT, O. and KLČO, M. and PENG, J. and STAFYLAKIS, T. and BURGET, L.", title="Description and Analysis of ABC Submission to NIST LRE 2022", booktitle="Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH", year="2023", journal="Proceedings of Interspeech", volume="2023", number="08", pages="511--515", publisher="International Speech Communication Association", address="Dublin", doi="10.21437/Interspeech.2023-1529", issn="1990-9772", url="https://www.isca-speech.org/archive/pdfs/interspeech_2023/matejka23_interspeech.pdf" }