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SZŐKE, I. SCHWARZ, P. BURGET, L. KARAFIÁT, M. ČERNOCKÝ, J.
Originální název
Phoneme based acoustics keyword spotting in informal continuous speech
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
acoustic keyword spotting, hidden Markov model, phoneme, recognition network
Autoři
SZŐKE, I.; SCHWARZ, P.; BURGET, L.; KARAFIÁT, M.; ČERNOCKÝ, J.
Rok RIV
2005
Vydáno
16. 5. 2005
Nakladatel
Faculty of Electrical Engineering and Communication BUT
Místo
Brno
ISBN
80-214-2904-6
Kniha
Radioelektronika 2005
Strany od
195
Strany do
198
Strany počet
4
URL
https://www.fit.vutbr.cz/~szoke/papers/radioelektronika_2005.pdf
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" }