Publication result detail

The subspace Gaussian mixture model-A structured model for speech recognition

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

Original Title

The subspace Gaussian mixture model-A structured model for speech recognition

English Title

The subspace Gaussian mixture model-A structured model for speech recognition

Type

WoS Article

Original Abstract

Speech recognition based on the Hidden Markov Model-Gaussian Mixture Model (HMM-GMM) framework generally involves training a completely separate GMM in each HMM state.We introduce a model in which the HMM states share a common structure but the means and mixture weights are allowed to vary in a subspace of the full parameter space, controlled by a global mapping from a vector space to the space of GMM parameters.

English abstract

Speech recognition based on the Hidden Markov Model-Gaussian Mixture Model (HMM-GMM) framework generally involves training a completely separate GMM in each HMM state.We introduce a model in which the HMM states share a common structure but the means and mixture weights are allowed to vary in a subspace of the full parameter space, controlled by a global mapping from a vector space to the space of GMM parameters.

Keywords

Speech recognition; Gaussian Mixture Model; Subspace Gaussian Mixture Model

Key words in English

Speech recognition; Gaussian Mixture Model; Subspace Gaussian Mixture Model

Authors

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

RIV year

2012

Released

01.04.2011

Publisher

Elsevier Science

Book

Computer Speech & Language, Volume 25, Issue 2, April 2011

ISBN

0885-2308

Periodical

COMPUTER SPEECH AND LANGUAGE

Volume

25

Number

2

State

United Kingdom of Great Britain and Northern Ireland

Pages from

404

Pages to

439

Pages count

36

URL

https://www.fit.vut.cz/research/publication/9670/

BibTex

@article{BUT76383,
  author="Daniel {Povey} and Lukáš {Burget} and Mohit {Agarwal} and Pinar {Akyazi} 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="The subspace Gaussian mixture model-A structured model for speech recognition",
  journal="COMPUTER SPEECH AND LANGUAGE",
  year="2011",
  volume="25",
  number="2",
  pages="404--439",
  issn="0885-2308",
  url="https://www.fit.vut.cz/research/publication/9670/"
}