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

Karafiát Martin, Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)

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"
}