Publication detail

TRAP based features for LVCSR of meeting data

KARAFIÁT, M. GRÉZL, F. ČERNOCKÝ, J.

Original Title

TRAP based features for LVCSR of meeting data

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This paper describes using temporal patterns (TRAPs) feature extraction in large vocabulary continuous speech recognition (LVCSR) of meeting data. Frequency differentiation and local operators are applied to critical-band speech spectrum. Tests are performed with HMM recognizer on ICSI meetings database. We show that TRAP features in combination with standard ones lead to improvement of word-error rate (WER).

Keywords

Speech recognition, TRAP, LVCSR

Authors

KARAFIÁT, M.; GRÉZL, F.; ČERNOCKÝ, J.

RIV year

2004

Released

7. 6. 2004

Publisher

Sunjin Printing Co,

Location

Jeju Island

ISBN

1225-4111

Periodical

8th International Conference on Spoken Language Processing

Year of study

2004

Number

10

State

Republic of Korea

Pages from

437

Pages to

440

Pages count

4

URL

http://www.fit.vutbr.cz/~karafiat/publi/2004/karafiat_icslp2004.pdf

BibTex

@inproceedings{BUT17131,
  author="Martin {Karafiát} and František {Grézl} and Jan {Černocký}",
  title="TRAP based features for LVCSR of meeting data",
  booktitle="Proc. 8th International Conference on Spoken Language Processing",
  year="2004",
  journal="8th International Conference on Spoken Language Processing",
  volume="2004",
  number="10",
  pages="437--440",
  publisher="Sunjin Printing Co,",
  address="Jeju Island",
  issn="1225-4111",
  url="http://www.fit.vutbr.cz/~karafiat/publi/2004/karafiat_icslp2004.pdf"
}