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Detail publikačního výsledku
BURGET, L.; SCHWARZ, P.; AGARWAL, M.; AKYAZI, P.; FENG, K.; GHOSHAL, A.; GLEMBEK, O.; GOEL, N.; KARAFIÁT, M.; POVEY, D.; RASTROW, A.; ROSE, R.; THOMAS, S.
Originální název
Multilingual acoustic modeling for speech recognition based on Subspace Gaussian Mixture Models
Anglický název
Druh
Stať ve sborníku mimo WoS a Scopus
Originální abstrakt
This paper is on a different approach to multilingual speech recognition, in which the phone sets are entirely distinct but the model has parameters not tied to specific states that are shared across languages.
Anglický abstrakt
Klíčová slova
Large vocabulary speech recognition, Subspace Gaussian mixture model, Multilingual acoustic modeling
Klíčová slova v angličtině
Autoři
Rok RIV
2011
Vydáno
01.04.2010
Nakladatel
IEEE Signal Processing Society
Místo
Dallas
ISBN
978-1-4244-4296-6
Kniha
Proc. International Conference on Acoustictics, Speech, and Signal Processing
ISSN
1520-6149
Periodikum
Proc. International Conference on Acoustics, Speech, and Signal Processing
Svazek
2010
Číslo
3
Stát
Spojené státy americké
Strany od
4334
Strany do
4337
Strany počet
4
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2010/burget_icassp2010_4334.pdf
BibTex
@inproceedings{BUT37044, author="Lukáš {Burget} and Petr {Schwarz} and Mohit {Agarwal} and Pinar {Akyazi} and Kai {Feng} and Arnab {Ghoshal} and Ondřej {Glembek} and Nagendra {Goel} and Martin {Karafiát} and Daniel {Povey} and Ariya {Rastrow} and Richard {Rose} and Samuel {Thomas}", title="Multilingual acoustic modeling for speech recognition based on Subspace Gaussian Mixture Models", booktitle="Proc. International Conference on Acoustictics, Speech, and Signal Processing", year="2010", journal="Proc. International Conference on Acoustics, Speech, and Signal Processing", volume="2010", number="3", pages="4334--4337", publisher="IEEE Signal Processing Society", address="Dallas", isbn="978-1-4244-4296-6", issn="1520-6149", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2010/burget_icassp2010_4334.pdf" }