Publication detail

Comparison of Keyword Spotting Approaches for Informal Continuous Speech

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

Original Title

Comparison of Keyword Spotting Approaches for Informal Continuous Speech

Type

conference paper

Language

English

Original Abstract

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  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. The advantages and drawbacks of different approaches are discussed.

Keywords

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

Authors

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

RIV year

2005

Released

4. 9. 2005

Location

Lisabon

ISBN

1018-4074

Periodical

European Conference EUROSPEECH

State

Swiss Confederation

Pages from

633

Pages to

636

Pages count

4

URL

BibTex

@inproceedings{BUT18062,
  author="Igor {Szőke} and Petr {Schwarz} and Lukáš {Burget} and Michal {Fapšo} and Martin {Karafiát} and Jan {Černocký} and Pavel {Matějka}",
  title="Comparison of Keyword Spotting Approaches for Informal Continuous Speech",
  booktitle="Interspeech'2005 - Eurospeech - 9th European Conference on Speech Communication and Technology",
  year="2005",
  journal="European Conference EUROSPEECH",
  pages="633--636",
  address="Lisabon",
  issn="1018-4074",
  url="https://www.fit.vutbr.cz/~szoke/papers/eurospeech_2005.pdf, https://www.fit.vutbr.cz/~szoke/papers/keywordspotting_poster_2005.pdf"
}