Publication Details

Phoneme based acoustics keyword spotting in informal continuous speech

SZŐKE, I., SCHWARZ, P., BURGET, L., KARAFIÁT, M., ČERNOCKÝ, J. Phoneme based acoustics keyword spotting in informal continuous speech. In Radioelektronika 2005. Brno: Faculty of Electrical Engineering and Communication BUT, 2005. p. 195-198. ISBN: 80-214-2904-6.
Czech title
Akustický detektor klíčových slov založený na fonémech pro neformální plynulou řeč
Type
conference paper
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)
Černocký Jan, prof. Dr. Ing. (DCGM)
URL
Keywords

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

Abstract

This paper describes several ways of keywords spotting (KWS), based on Gaussian mixture (GM) hidden Markov modelling (HMM). Context-independent and dependent phoneme models are used in our system. The system was trained and evaluated on informal continuous speech. We used different complexities of KWS recognition networks and different types of phoneme models. The impact of these parameters on the accuracy and computational complexity is investigated.

Published
2005
Pages
195–198
Proceedings
Radioelektronika 2005
ISBN
80-214-2904-6
Publisher
Faculty of Electrical Engineering and Communication BUT
Place
Brno
BibTeX 
@inproceedings{BUT21490,
  author="Igor {Szőke} and Petr {Schwarz} and Lukáš {Burget} and Martin {Karafiát} and Jan {Černocký}",
  title="Phoneme based acoustics keyword spotting in informal continuous speech",
  booktitle="Radioelektronika 2005",
  year="2005",
  pages="195--198",
  publisher="Faculty of Electrical Engineering and Communication BUT",
  address="Brno",
  isbn="80-214-2904-6",
  url="https://www.fit.vutbr.cz/~szoke/papers/radioelektronika_2005.pdf"
}
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