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SZŐKE, I., SCHWARZ, P., BURGET, L., FAPŠO, M., KARAFIÁT, M., ČERNOCKÝ, J., MATĚJKA, P.
Originální název
Comparison of Keyword Spotting Approaches for Informal Continuous Speech
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
comparison, keyword spotting, hidden Markov model, long temporal trajectory, phoneme recognizer
Autoři
Rok RIV
2005
Vydáno
4. 9. 2005
Místo
Lisabon
ISSN
1018-4074
Periodikum
European Conference EUROSPEECH
Stát
Švýcarská konfederace
Strany od
633
Strany do
636
Strany počet
4
URL
https://www.fit.vutbr.cz/~szoke/papers/eurospeech_2005.pdf, https://www.fit.vutbr.cz/~szoke/papers/keywordspotting_poster_2005.pdf
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" }