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SZŐKE, I. SCHWARZ, P. BURGET, L. FAPŠO, M. KARAFIÁT, M. ČERNOCKÝ, J. MATĚJKA, P.
Original Title
Comparison of Keyword Spotting Approaches for Informal Continuous Speech
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
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.
Keywords
comparison, keyword spotting, hidden Markov model, long temporal trajectory, phoneme recognizer
Authors
SZŐKE, I.; SCHWARZ, P.; BURGET, L.; FAPŠO, M.; KARAFIÁT, M.; ČERNOCKÝ, J.; MATĚJKA, P.
RIV year
2005
Released
4. 9. 2005
Location
Lisabon
ISBN
1018-4074
Periodical
European Conference EUROSPEECH
State
Swiss Confederation
Pages from
633
Pages to
636
Pages count
4
URL
https://www.fit.vut.cz/research/publication/7886/
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.vut.cz/research/publication/7886/" }