Detail publikačního výsledku

Comparison of Keyword Spotting Approaches for Informal Continuous Speech

SZŐKE, I.; SCHWARZ, P.; MATĚJKA, P.; BURGET, L.; FAPŠO, M.; KARAFIÁT, M.; ČERNOCKÝ, J.

Originální název

Comparison of Keyword Spotting Approaches for Informal Continuous Speech

Anglický název

Comparison of Keyword Spotting Approaches for Informal Continuous Speech

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

This paper describes several approaches to keyword spotting (KWS) forinformal continuous speech. We compare acoustic keyword spotting,spotting in word lattices generated by large vocabulary continuousspeech recognition and a hybrid approach making use of phoneme latticesgenerated by a phoneme recognizer. The systems are compared oncarefully defined test data extracted from ICSI meeting database. Theadvantages and drawbacks of different approaches are discussed. Theacoustic and phoneme-lattice based KWS are based on a phonemerecognizer making use of temporal-pattern (TRAP) feature extraction andposterior estimation using neural nets. We show its superiority overtraditional HMM/GMM systems. A posterior probability transformationfunction is introduced for posterior based acoustic keyword spotting.We also propose a posterior masking algorithm to speed-up acoustickeyword spotting.

Anglický abstrakt

This paper describes several approaches to keyword spotting (KWS) forinformal continuous speech. We compare acoustic keyword spotting,spotting in word lattices generated by large vocabulary continuousspeech recognition and a hybrid approach making use of phoneme latticesgenerated by a phoneme recognizer. The systems are compared oncarefully defined test data extracted from ICSI meeting database. Theadvantages and drawbacks of different approaches are discussed. Theacoustic and phoneme-lattice based KWS are based on a phonemerecognizer making use of temporal-pattern (TRAP) feature extraction andposterior estimation using neural nets. We show its superiority overtraditional HMM/GMM systems. A posterior probability transformationfunction is introduced for posterior based acoustic keyword spotting.We also propose a posterior masking algorithm to speed-up acoustickeyword spotting.

Klíčová slova

comparison, keyword spotting, hidden Markov model, long temporal trajectory, phoneme recognizer

Klíčová slova v angličtině

comparison, keyword spotting, hidden Markov model, long temporal trajectory, phoneme recognizer

Autoři

SZŐKE, I.; SCHWARZ, P.; MATĚJKA, P.; BURGET, L.; FAPŠO, M.; KARAFIÁT, M.; ČERNOCKÝ, J.

Vydáno

20.09.2005

Místo

Edinburgh

Kniha

2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms

Strany od

1

Strany do

12

Strany počet

12

URL

https://www.fit.vut.cz/research/publication/7887/

BibTex

@inproceedings{BUT18063,
  author="Igor {Szőke} and Petr {Schwarz} and Pavel {Matějka} and Lukáš {Burget} and Michal {Fapšo} and Martin {Karafiát} and Jan {Černocký}",
  title="Comparison of Keyword Spotting Approaches for Informal Continuous Speech",
  booktitle="2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms",
  year="2005",
  pages="1--12",
  address="Edinburgh",
  url="https://www.fit.vut.cz/research/publication/7887/"
}