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"
}