Detail publikace

Comparison of Keyword Spotting Approaches for Informal Continuous Speech

SZŐKE, I. SCHWARZ, P. MATĚJKA, P. BURGET, L. FAPŠO, M. KARAFIÁT, M. ČERNOCKÝ, J.

Originální název

Comparison of Keyword Spotting Approaches for Informal Continuous Speech

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper describes several approaches to keyword spotting (KWS) for informal continuous speech. We compare acoustic keyword spotting, spotting in word lattices generated by large vocabulary continuous speech recognition and a hybrid approach making use of phoneme lattices generated by a phoneme recognizer. The systems are compared on carefully defined test data extracted from ICSI meeting database. The advantages and drawbacks of different approaches are discussed. The acoustic and phoneme-lattice based KWS are based on a phoneme recognizer making use of temporal-pattern (TRAP) feature extraction and posterior estimation using neural nets. We show its superiority over traditional HMM/GMM systems. A posterior probability transformation function is introduced for posterior based acoustic keyword spotting. We also propose a posterior masking algorithm to speed-up acoustic keyword spotting.

Klíčová slova

comparison, keyword spotting, hidden Markov model, long temporal trajectory, phoneme recognizer

Autoři

SZŐKE, I.; SCHWARZ, P.; MATĚJKA, P.; BURGET, L.; FAPŠO, M.; KARAFIÁT, M.; ČERNOCKÝ, J.

Rok RIV

2005

Vydáno

20. 9. 2005

Místo

Edinburgh

Strany od

1

Strany do

12

Strany počet

12

URL

https://www.fit.vut.cz/research/publication/7887/

BibTex

@inproceedings{BUT18063,
  author="Igor {Szőke} and Petr {Schwarz} and Pavel {Matějka} and Lukáš {Burget} and Michal {Fapšo} and Martin {Karafiát} and Jan {Černocký}",
  title="Comparison of Keyword Spotting Approaches for Informal Continuous Speech",
  booktitle="2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms",
  year="2005",
  pages="1--12",
  address="Edinburgh",
  url="https://www.fit.vut.cz/research/publication/7887/"
}