Detail publikace

Multilingual acoustic modeling for speech recognition based on Subspace Gaussian Mixture Models

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

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.

Klíčová slova

Large vocabulary speech recognition, Subspace Gaussian mixture model, Multilingual acoustic modeling

Autoři

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.

Rok RIV

2010

Vydáno

1. 4. 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

Ročník

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"
}