Detail publikace

TRAP based features for LVCSR of meeting data

KARAFIÁT, M. GRÉZL, F. ČERNOCKÝ, J.

Originální název

TRAP based features for LVCSR of meeting data

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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).

Klíčová slova

Speech recognition, TRAP, LVCSR

Autoři

KARAFIÁT, M.; GRÉZL, F.; ČERNOCKÝ, J.

Rok RIV

2004

Vydáno

7. 6. 2004

Nakladatel

Sunjin Printing Co,

Místo

Jeju Island

ISSN

1225-4111

Periodikum

8th International Conference on Spoken Language Processing

Ročník

2004

Číslo

10

Stát

Korejská republika

Strany od

437

Strany do

440

Strany počet

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"
}