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"
}