Detail publikace

Keyword Spotting in Meeting Data

SZŐKE, I.

Originální název

Keyword Spotting in Meeting Data

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper describes several approaches to  keyword spotting (KWS)  for informal continuous speech. We compare  acoustic keyword spotting, spotting in word lattices generated by large vocabulary continuous speech recognition and a hybrid approach making use of phoneme lattices generated by a phoneme recognizer. The  systems are compared on carefully defined test data extracted from ICSI meeting database. The  acoustic and phoneme-lattice based KWS are based on a phoneme recognizer making use of long temporal split context feature extraction and posterior estimation using neural nets. The advantages and drawbacks of different approaches are discussed.

Klíčová slova

keyword spotting, lattice, LVCSR, phoneme recognizer, informal speech

Autoři

SZŐKE, I.

Rok RIV

2006

Vydáno

27. 4. 2006

Nakladatel

Faculty of Electrical Engineering and Communication BUT

Místo

Brno

ISBN

80-214-3163-6

Kniha

Proceedings of the 12th Conference Student EEICT 2006 Volume 4

Strany od

440

Strany do

444

Strany počet

5

URL

www.fit.vutbr.cz/~szoke/paper/eeict_2006.pdf

BibTex

@inproceedings{BUT22366,
  author="Igor {Szőke}",
  title="Keyword Spotting in Meeting Data",
  booktitle="Proceedings of the 12th Conference Student EEICT 2006 Volume 4",
  year="2006",
  pages="440--444",
  publisher="Faculty of Electrical Engineering and Communication BUT",
  address="Brno",
  isbn="80-214-3163-6",
  url="www.fit.vutbr.cz/~szoke/paper/eeict_2006.pdf"
}