Keyword spotting method based on speech feature space trace matching

Keyword spotting (KWS) has been an active research area in recent years. Based on the theory of feature space trace time normalization, an efficient keyword spotting method is proposed in this paper, with the effect of the fragment trace length probed. Experiments show that the performance of this m...

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Bibliographic Details
Published inProceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693) Vol. 5; pp. 3188 - 3192 Vol.5
Main Authors Ya-Dong Wu, Bao-Long Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Background noise
Hidden Markov models
Monitoring
Neural networks
Signal processing
Speech enhancement
Speech processing
Speech recognition
Testing
Vocabulary
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Summary:Keyword spotting (KWS) has been an active research area in recent years. Based on the theory of feature space trace time normalization, an efficient keyword spotting method is proposed in this paper, with the effect of the fragment trace length probed. Experiments show that the performance of this method is close to that of manual spotting, having some practicability.
ISBN:0780378652
9780780378650
9780780381315
0780381319
DOI:10.1109/ICMLC.2003.1260128