Článek ve sborníku konference

ROSE Richard, NOROUZIAN Atta, REDDY Aarthi, COY Andre, GUPTA Vishwa a KARAFIÁT Martin. Subword-based spoken term detection in audio course lectures. In: Proc. International Conference on Acoustics, Speech, and Signal Processing. Dallas: IEEE Signal Processing Society, 2010, s. 5282-5285. ISBN 978-1-4244-4296-6. ISSN 1520-6149.
Jazyk publikace:angličtina
Název publikace:Subword-based spoken term detection in audio course lectures
Název (cs):Pod-slovní jednotky pro detekci klíčových frází v audiozáznamech přednášek
Strany:5282-5285
Sborník:Proc. International Conference on Acoustics, Speech, and Signal Processing
Konference:International Conference on Acoustics, Speech, and Signal Processing 2010
Místo vydání:Dallas, US
Rok:2010
ISBN:978-1-4244-4296-6
Časopis:Proc. International Conference on Acoustics, Speech, and Signal Processing, roč. 2010, č. 3, Piscataway, US
ISSN:1520-6149
Vydavatel:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/rose_icassp2010_5282.pdf [PDF]
Klíčová slova
Speech recognition, spoken term detection
Anotace
Článek pojednává o podslovních jednotkách pro detekci klíčových frází v audiozáznamech, které jsme získali z existujícího skladu těchto médií.
Abstrakt
This paper investigates spoken term detection (STD) from audio recordings of course lectures obtained from an existing media repository. STD is performed from word lattices generated offline using an automatic speech recognition (ASR) system configured from a meetings domain. An efficient STD approach is presented where lattice paths which are likely to contain search terms are identified and an efficient phone based distance is used to detect the occurrence of search terms in phonetic expansions of promising lattice paths. STD and ASR results are reported for both in-vocabulary (IV) and outof- vocabulary (OOV) search terms in this lecture speech domain.
BibTeX:
@INPROCEEDINGS{
   author = {Richard Rose and Atta Norouzian and Aarthi Reddy and Andre
	Coy and Vishwa Gupta and Martin Karafiát},
   title = {Subword-based spoken term detection in audio course lectures},
   pages = {5282--5285},
   booktitle = {Proc. International Conference on Acoustics, Speech, and
	Signal Processing},
   journal = {Proc. International Conference on Acoustics, Speech, and
	Signal Processing},
   volume = {2010},
   number = {3},
   year = {2010},
   location = {Dallas, US},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4244-4296-6},
   ISSN = {1520-6149},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=9312}
}

Vaše IPv4 adresa: 54.234.217.247
Přepnout na IPv6 spojení

DNSSEC [dnssec]