Publication detail

Improving Acoustic Based Keyword Spotting Using LVCSR Lattices

MOTLÍČEK, P. VALENTE, F. SZŐKE, I.

Original Title

Improving Acoustic Based Keyword Spotting Using LVCSR Lattices

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This paper summarizes experimental results achieved with acoustic and LVCSR-KWS systems exploited on conversational audio recordings.

Keywords

KeyWord Spotting (KWS), Spoken Term Detection (STD), Confidence Measure (CM)

Authors

MOTLÍČEK, P.; VALENTE, F.; SZŐKE, I.

RIV year

2012

Released

25. 3. 2012

Publisher

IEEE Signal Processing Society

Location

Kyoto

ISBN

978-1-4673-0044-5

Book

Proc. International Conference on Acoustics, Speech, and Signal Processing 2012

Pages from

4413

Pages to

4416

Pages count

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2012/motlicek_icassp2012_0004413.pdf

BibTex

@inproceedings{BUT91501,
  author="Petr {Motlíček} and Fabio {Valente} and Igor {Szőke}",
  title="Improving Acoustic Based Keyword Spotting Using LVCSR Lattices",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal Processing 2012",
  year="2012",
  pages="4413--4416",
  publisher="IEEE Signal Processing Society",
  address="Kyoto",
  doi="10.1109/ICASSP.2012.6288898",
  isbn="978-1-4673-0044-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/motlicek_icassp2012_0004413.pdf"
}