Publication detail

Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition

KARAFIÁT, M. GRÉZL, F. SCHWARZ, P. BURGET, L. ČERNOCKÝ, J.

Original Title

Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

The paper deals with robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition

Keywords

speech recognition, feature extraction, acoustic modeling

Authors

KARAFIÁT, M.; GRÉZL, F.; SCHWARZ, P.; BURGET, L.; ČERNOCKÝ, J.

RIV year

2006

Released

6. 6. 2006

Publisher

Springer Verlag

Location

Berlin

ISBN

3-540-69267-3

Book

Proc. 3nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2006)

Edition

Lecture Notes in Computer Science

Pages from

275

Pages to

284

Pages count

10

URL

BibTex

@inproceedings{BUT33392,
  author="Martin {Karafiát} and František {Grézl} and Petr {Schwarz} and Lukáš {Burget} and Jan {Černocký}",
  title="Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition",
  booktitle="Proc. 3nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2006)",
  year="2006",
  series="Lecture Notes in Computer Science",
  volume="4299",
  pages="275--284",
  publisher="Springer Verlag",
  address="Berlin",
  isbn="3-540-69267-3",
  url="http://www.fit.vutbr.cz/~cernocky/publi/2006/karafiat_mlmi2006_honza.pdf"
}