Publication detail

Subspace Gaussian mixture models for speech recognition

POVEY, D. BURGET, L. AGARWAL, M. AKYAZI, P. FENG, K. GHOSHAL, A. GLEMBEK, O. GOEL, N. KARAFIÁT, M. RASTROW, A. ROSE, R. SCHWARZ, P. THOMAS, S.

Original Title

Subspace Gaussian mixture models for speech recognition

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

The paper is on subspace Gaussian mixture models for speech recognition. We describe an acoustic modeling approach in which all phonetic states share a common GMM structure.

Keywords

Speech Recognition, Hidden Markov Models, Gaussian Mixture Models

Authors

POVEY, D.; BURGET, L.; AGARWAL, M.; AKYAZI, P.; FENG, K.; GHOSHAL, A.; GLEMBEK, O.; GOEL, N.; KARAFIÁT, M.; RASTROW, A.; ROSE, R.; SCHWARZ, P.; THOMAS, S.

RIV year

2010

Released

1. 4. 2010

Publisher

IEEE Signal Processing Society

Location

Dallas

ISBN

978-1-4244-4296-6

Book

Proc. International Conference on Acoustics, Speech, and Signal Processing

ISBN

1520-6149

Periodical

Proc. International Conference on Acoustics, Speech, and Signal Processing

Year of study

2010

Number

3

State

United States of America

Pages from

4330

Pages to

4333

Pages count

4

URL

BibTex

@inproceedings{BUT37026,
  author="Daniel {Povey} and Lukáš {Burget} and Mohit {Agarwal} and Pinar {Akyazi} and Kai {Feng} and Arnab {Ghoshal} and Ondřej {Glembek} and Nagendra {Goel} and Martin {Karafiát} and Ariya {Rastrow} and Richard {Rose} and Petr {Schwarz} and Samuel {Thomas}",
  title="Subspace Gaussian mixture models for speech recognition",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal Processing",
  year="2010",
  journal="Proc. International Conference on Acoustics, Speech, and Signal Processing",
  volume="2010",
  number="3",
  pages="4330--4333",
  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/povey_icassp2010_4330.pdf"
}