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KARAFIÁT, M. BASKAR, M. SZŐKE, I. MALENOVSKÝ, V. VESELÝ, K. GRÉZL, F. BURGET, L. ČERNOCKÝ, J.
Originální název
BUT OpenSAT 2017 speech recognition system
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
(ASR) systems for two domains in OpenSAT evaluations: LowResourced Languages and Public Safety Communications. Thefirst was challenging due to lack of training data, therefore multilingualapproaches for BLSTM training were employed andrecently published Residual Memory Networks requiring lesstraining data were used. Combination of both approaches led tosuperior performance. The second domain was challenging dueto recording in extreme conditions: specific channel, speakerunder stress, high levels of noise. A data augmentation processwas very important to get reasonably good performance.
Klíčová slova
speech recognition, multilingual training, BLSTM, data augmentation, robustness
Autoři
KARAFIÁT, M.; BASKAR, M.; SZŐKE, I.; MALENOVSKÝ, V.; VESELÝ, K.; GRÉZL, F.; BURGET, L.; ČERNOCKÝ, J.
Vydáno
2. 9. 2018
Nakladatel
International Speech Communication Association
Místo
Hyderabad
ISSN
1990-9772
Periodikum
Proceedings of Interspeech
Ročník
2018
Číslo
9
Stát
Francouzská republika
Strany od
2638
Strany do
2642
Strany počet
5
URL
https://www.isca-speech.org/archive/Interspeech_2018/abstracts/2457.html
BibTex
@inproceedings{BUT155099, author="Martin {Karafiát} and Murali Karthick {Baskar} and Igor {Szőke} and Vladimír {Malenovský} and Karel {Veselý} and František {Grézl} and Lukáš {Burget} and Jan {Černocký}", title="BUT OpenSAT 2017 speech recognition system", booktitle="Proceedings of Interspeech 2018", year="2018", journal="Proceedings of Interspeech", volume="2018", number="9", pages="2638--2642", publisher="International Speech Communication Association", address="Hyderabad", doi="10.21437/Interspeech.2018-2457", issn="1990-9772", url="https://www.isca-speech.org/archive/Interspeech_2018/abstracts/2457.html" }
Dokumenty
karafiat_interspeech2018_2457.pdf