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

English Title

Improving Acoustic Based Keyword Spotting Using LVCSR Lattices

Type

conference paper

Language

en

Original Abstract

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

English 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)

RIV year

2012

Released

25.03.2012

Publisher

IEEE Signal Processing Society

Location

Kyoto

ISBN

978-1-4673-0044-5

Book

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

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

4413

Pages to

4416

Pages count

4

URL

Documents

BibTex


@inproceedings{BUT91501,
  author="Petr {Motlíček} and Fabio {Valente} and Igor {Szőke}",
  title="Improving Acoustic Based Keyword Spotting Using LVCSR Lattices",
  annote="This paper summarizes experimental results achieved with acoustic and LVCSR-KWS
systems exploited on conversational audio recordings.",
  address="IEEE Signal Processing Society",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal Processing 2012",
  chapter="91501",
  doi="10.1109/ICASSP.2012.6288898",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2012",
  month="march",
  pages="4413--4416",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}