Result Details
Robust heteroscedastic linear discriminant analysis and LCRC posterior features in large vocabulary continuous speech recognition
KARAFIÁT, M.; GRÉZL, F.; SCHWARZ, P.; BURGET, L.; ČERNOCKÝ, J. Robust heteroscedastic linear discriminant analysis and LCRC posterior features in large vocabulary continuous speech recognition. Proc. Fifth Slovenian and First International Language Technologies Conference. Ljubljana: 2006. p. 1-4.
Type
conference paper
Language
English
Authors
Karafiát Martin, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Grézl František, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Schwarz Petr, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Grézl František, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Schwarz Petr, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract
The paper is on robust heteroscedastic linear discriminant analysis andLCRC posterior features in large vocabulary continuous speechrecognition
Keywords
speech processing, LVCSR, feature extraction, posterior features, discriminative transforms
URL
Annotation
This paper deals with feature extraction in speech 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 CTS (continuous telephone speech) data. Silence-reduced HLDA and LCRC phoneme-state posterior features together provide more than 4% absolute improvement in word error rate.
Published
2006
Pages
1–4
Proceedings
Proc. Fifth Slovenian and First International Language Technologies Conference
Conference
Fifth Slovenian and First International Language Technologies Conference
Place
Ljubljana
BibTeX
@inproceedings{BUT22287,
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 large vocabulary continuous speech recognition",
booktitle="Proc. Fifth Slovenian and First International Language Technologies Conference",
year="2006",
pages="1--4",
address="Ljubljana",
url="http://www.fit.vutbr.cz/research/groups/speech/publi/2006/karafiat_ltc_2006.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