Detail výsledku

Keyword Spotting in Meeting Data

SZŐKE, I. Keyword Spotting in Meeting Data. Proceedings of the 12th Conference Student EEICT 2006 Volume 4. Brno: Faculty of Electrical Engineering and Communication BUT, 2006. p. 440-444. ISBN: 80-214-3163-6.
Typ
článek ve sborníku konference
Jazyk
anglicky
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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

URL
Rok
2006
Strany
440–444
Sborník
Proceedings of the 12th Conference Student EEICT 2006 Volume 4
Konference
Student EEICT 2006
ISBN
80-214-3163-6
Vydavatel
Faculty of Electrical Engineering and Communication BUT
Místo
Brno
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"
}
Projekty
Posílená skupinová interakce, EU, Sixth Framework programme, 506811-AMI, zahájení: 2004-01-01, ukončení: 2006-12-31, ukončen
Specifický výzkum, VUT, Vnitřní projekty VUT, SV, zahájení: 2005-01-01, ukončení: 2009-12-31, ukončen
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