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KMID : 0917519980030010119
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Journal of Speech Sciences
1998 Volume.3 No. 1 p.119 ~ p.131
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Implementation of the Automatic Speech Editing System Using Keyword Spotting Technique
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Chung Ik-Joo
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Abstract
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We have developed a keyword spotting system for automatic speech editing. This system recognizes the only keyword ´MBC news´ and then sends the time information to the host system. We adopted a vocabulary dependent model based on continuous hidden Markov model, and the Viterbi search was used for recognizing the keyword.
In recognizing the keyword, the system uses a parallel network where HMM models are connected independently and back-tracking information for reducing false alarms and missing. We especially focused on implementing a stable and practical real-time system.
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KEYWORD
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keyword spotting, continuous hidden markov model, real-time system
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