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VESELÝ, K. GHOSHAL, A. BURGET, L. POVEY, D.
Originální název
Sequence-discriminative Training of Deep Neural Networks
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
This article presents experiments with DNN-HMM hybrid systems trained using frame-based cross-entropy and different sequence-discriminative criteria on the 300 hour Switchboard conversational telephone speech task.
Klíčová slova
speech recognition, deep learning, sequencecriterion training, neural networks, reproducible research
Autoři
VESELÝ, K.; GHOSHAL, A.; BURGET, L.; POVEY, D.
Rok RIV
2013
Vydáno
25. 8. 2013
Nakladatel
International Speech Communication Association
Místo
Lyon
ISBN
978-1-62993-443-3
Kniha
Proceedings of Interspeech 2013
ISSN
2308-457X
Periodikum
Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013).
Číslo
8
Stát
Francouzská republika
Strany od
2345
Strany do
2349
Strany počet
5
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_interspeech2013_IS131333.pdf
BibTex
@inproceedings{BUT103549, author="Karel {Veselý} and Arnab {Ghoshal} and Lukáš {Burget} and Daniel {Povey}", title="Sequence-discriminative Training of Deep Neural Networks", booktitle="Proceedings of Interspeech 2013", year="2013", journal="Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013).", number="8", pages="2345--2349", publisher="International Speech Communication Association", address="Lyon", isbn="978-1-62993-443-3", issn="2308-457X", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_interspeech2013_IS131333.pdf" }