Publication result detail

Phoneme confidence estimator based on Gaussian mixture models

PFEIFER, V.; BALÍK, M.; MÍČA, I.; PRŮŠA, Z.

Original Title

Phoneme confidence estimator based on Gaussian mixture models

English Title

Phoneme confidence estimator based on Gaussian mixture models

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

The paper propose a statistical approach to phoneme confidence estimation and classification. For this purpose a set of Gaussian Mixture models are trained on the TIMIT corpus.

English abstract

The paper propose a statistical approach to phoneme confidence estimation and classification. For this purpose a set of Gaussian Mixture models are trained on the TIMIT corpus.

Keywords

phoneme, classification, models, system

Key words in English

phoneme, classification, models, system

Authors

PFEIFER, V.; BALÍK, M.; MÍČA, I.; PRŮŠA, Z.

RIV year

2010

Released

30.12.2009

Publisher

gests

Location

Korea

ISBN

1738-9682

Periodical

International Transactions on Communication and Signal Processing

Volume

13

Number

13

State

Republic of Korea

Pages from

1

Pages to

8

Pages count

8

BibTex

@article{BUT47792,
  author="Václav {Pfeifer} and Miroslav {Balík} and Ivan {Míča} and Zdeněk {Průša}",
  title="Phoneme confidence estimator based on Gaussian mixture models",
  journal="International Transactions on Communication and Signal Processing",
  year="2009",
  volume="13",
  number="13",
  pages="1--8",
  issn="1738-9682"
}