Publication Details

Phoneme Based Acoustics Keyword Spotting in Informal Continuous Speech

SZŐKE, I.; SCHWARZ, P.; BURGET, L.; KARAFIÁT, M.; MATĚJKA, P.; ČERNOCKÝ, J. Phoneme Based Acoustics Keyword Spotting in Informal Continuous Speech. Lecture Notes in Computer Science, 2005, vol. 2005, no. 3658, p. 302-309. ISSN: 0302-9743.
Czech title
Fonémový detektor klíčových slov založený na akustice pro neformální konverzační řeč
Type
journal article
Language
English
Authors
Szőke Igor, Ing., Ph.D. (DCGM)
Schwarz Petr, Ing., Ph.D. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Karafiát Martin, Ing., Ph.D. (DCGM)
Matějka Pavel, Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
URL
Keywords

acoustic keyword spotting, hidden Markov model, phoneme, recognition network

Abstract

This paper describes several ways of acoustic keywords spotting (KWS),based on Gaussian mixture model (GMM) hidden Markov models (HMM) andphoneme posterior probabilities from FeatureNet. Context-independentand dependent phoneme models are used in the GMM/HMM system. Thesystems were trained and evaluated on informal continuous speech. Weused different complexities of KWS recognition network and differenttypes of phoneme models. We study the impact of these parameters on theaccuracy and computational complexity, and conclude that phonemeposteriors outperform conventional GMM/HMM system.

Published
2005
Pages
302–309
Journal
Lecture Notes in Computer Science, vol. 2005, no. 3658, ISSN 0302-9743
BibTeX 
@article{BUT42913,
  author="Igor {Szőke} and Petr {Schwarz} and Lukáš {Burget} and Martin {Karafiát} and Pavel {Matějka} and Jan {Černocký}",
  title="Phoneme Based Acoustics Keyword Spotting in Informal Continuous Speech",
  journal="Lecture Notes in Computer Science",
  year="2005",
  volume="2005",
  number="3658",
  pages="302--309",
  issn="0302-9743",
  url="https://www.fit.vut.cz/research/publication/7882/"
}
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