Publication detail

Keyword Spotting in Meeting Data

SZŐKE, I.

Original Title

Keyword Spotting in Meeting Data

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

SZŐKE, I.

RIV year

2006

Released

27. 4. 2006

Publisher

Faculty of Electrical Engineering and Communication BUT

Location

Brno

ISBN

80-214-3163-6

Book

Proceedings of the 12th Conference Student EEICT 2006 Volume 4

Pages from

440

Pages to

444

Pages count

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"
}