Publication detail
Acoustic keyword spotter - optimization from end-user perspective
SZŐKE, I. GRÉZL, F. ČERNOCKÝ, J. FAPŠO, M.
Original Title
Acoustic keyword spotter - optimization from end-user perspective
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
This paper is on acoustic keyword spotting. It presents several steps that have to be done to obtain a usable acoustic keyword spotting system. The novelty of the system is in the calibration.
Keywords
keyword spotting, spoken term detection, neural networks, calibration
Authors
SZŐKE, I.; GRÉZL, F.; ČERNOCKÝ, J.; FAPŠO, M.
RIV year
2010
Released
12. 12. 2010
Publisher
IEEE Signal Processing Society
Location
Berkeley, California
ISBN
978-1-4244-7902-3
Book
Proceedings of the 2010 IEEE Spoken Language Technology Workshop
Edition
IEEE Catalog Number: CFP 10SLT-USB
Pages from
177
Pages to
181
Pages count
5
URL
BibTex
@inproceedings{BUT35213,
author="Igor {Szőke} and František {Grézl} and Jan {Černocký} and Michal {Fapšo}",
title="Acoustic keyword spotter - optimization from end-user perspective",
booktitle="Proceedings of the 2010 IEEE Spoken Language Technology Workshop",
year="2010",
series="IEEE Catalog Number: CFP 10SLT-USB",
pages="177--181",
publisher="IEEE Signal Processing Society",
address="Berkeley, California",
isbn="978-1-4244-7902-3",
url="http://www.fit.vutbr.cz/research/groups/speech/publi/2010/sz%f6ke_SLT2010_p.177.pdf"
}