Doc. Dr. Ing. Jan Černocký

Szőke, I., Schwarz, P., Burget, L., Karafiát, M., Černocký, J.: Phoneme based acoustics keyword spotting in informal continuous speech, In: Radioelektronika 2005, Brno, CZ, FEKT VUT, 2005, p. 195-198, ISBN 80-214-2904-6
Publication language:english
Original title:Phoneme based acoustics keyword spotting in informal continuous speech
Title (cs):Akustický detektor klíčových slov založený na fonémech pro neformální plynulou řeč
Pages:195-198
Proceedings:Radioelektronika 2005
Conference:15th International Czech-Slovak Scientific conference Radioelektronika 2005
Place:Brno, CZ
Year:2005
ISBN:80-214-2904-6
Publisher:Faculty of Electrical Engineering and Communication BUT
URL:https://www.fit.vutbr.cz/~szoke/papers/radioelektronika_2005.pdf [PDF]
Keywords
acoustic keyword spotting, hidden Markov model, phoneme, recognition network
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   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},
   pages = {195--198},
   booktitle = {Radioelektronika 2005},
   year = {2005},
   location = {Brno, CZ},
   publisher = {Faculty of Electrical Engineering and Communication BUT},
   ISBN = {80-214-2904-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7778}
}

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