Publication Details
Differences between context dependent and context independent Hidden Markov Models for recognition of Czech
KARAFIÁT, M.; ČERNOCKÝ, J. Differences between context dependent and context independent Hidden Markov Models for recognition of Czech. Proc. of 8th student conference STUDENT EEICT 2002. Brno: Faculty of Electrical Engineering TUB, 2002. p. 328-332. ISBN: 80-214-2116-9.
Czech title
Rozdíly mezi kontextově závislým a nezávislým HMM systémem pro rozponávání češtiny.
Type
conference paper
Language
English
Authors
Keywords
speech recognition, Hidden Markov models, context modeling, Czech speech recognition
Abstract
Differences between context dependent and context independent Hidden Markov Models for recognition of Czech
Annotation
In speech recognition, context dependent (CD) models generally provide
better recognition accuracy than context independent (CI) ones. ThIn this
paper, we describe the tests of CD models on the recognition of Czech
isolated words. The models were trained on SpeechDat-E database. The
results with different training setups are presented, and some problems
are discussed
Published
2002
Pages
328–332
Proceedings
Proc. of 8th student conference STUDENT EEICT 2002
ISBN
80-214-2116-9
Publisher
Faculty of Electrical Engineering TUB
Place
Brno
BibTeX
@inproceedings{BUT10282,
author="Martin {Karafiát} and Jan {Černocký}",
title="Differences between context dependent and context independent Hidden Markov Models for recognition of Czech",
booktitle="Proc. of 8th student conference STUDENT EEICT 2002",
year="2002",
pages="328--332",
publisher="Faculty of Electrical Engineering TUB",
address="Brno",
isbn="80-214-2116-9"
}