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"
}