Result Details
Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition
KARAFIÁT, M.; GRÉZL, F.; SCHWARZ, P.; BURGET, L.; ČERNOCKÝ, J. Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition. Proc. 3nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2006). Lecture Notes in Computer Science. Berlin: Springer Verlag, 2006. p. 275-284. ISBN: 3-540-69267-3.
Type
conference paper
Language
English
Authors
Karafiát Martin, Ing., Ph.D., DCGM (FIT)
Grézl František, Ing., Ph.D., DCGM (FIT)
Schwarz Petr, Ing., Ph.D., DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Grézl František, Ing., Ph.D., DCGM (FIT)
Schwarz Petr, Ing., Ph.D., DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
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
URL
Annotation
This paper investigates into feature extraction for meeting recognition. Three robust variants of popular HLDA transform are investigated. Influence of adding posterior features to PLP feature stream is studied. The experimental results are obtained on two data-sets: CTS (continuous telephone speech) and meeting data from NIST RT'05 evaluations. Silence-reduced HLDA and LCRC phoneme-state posterior features are found to be suitable for both recognition tasks.
Published
2006
Pages
275–284
Proceedings
Proc. 3nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2006)
Series
Lecture Notes in Computer Science
Volume
4299
Conference
3nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms
ISBN
3-540-69267-3
Publisher
Springer Verlag
Place
Berlin
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"
}
Projects
Augmented Multi-party Interaction, EU, Sixth Framework programme, 506811-AMI, start: 2004-01-01, end: 2006-12-31, completed
Interactive Keyword Detector, GACR, Postdoktorandské granty, GP102/06/P383, start: 2006-01-01, end: 2008-12-31, completed
New trends in research and application of voice technology, GACR, Standardní projekty, GA102/05/0278, start: 2005-01-01, end: 2007-12-31, completed
Interactive Keyword Detector, GACR, Postdoktorandské granty, GP102/06/P383, start: 2006-01-01, end: 2008-12-31, completed
New trends in research and application of voice technology, GACR, Standardní projekty, GA102/05/0278, start: 2005-01-01, end: 2007-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments