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Keyword identification in a coherent text using two 'Hidden Markov' models
Keyword identification in a coherent text using two 'Hidden Markov' models
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机译:使用两个“隐马尔可夫”模型在连贯文本中识别关键字
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摘要
A technique for speaker-dependent wordspotting based on hidden Markov models (HMM's). The technique allows a speaker to specify keywords dynamically and to train the associated HMM's via a single repetition of a keyword. Non-keyword speech is modeled using an HMM trained from a prerecorded sample of continuous speech. The wordspotter is intended for interactive applications, such as the editing of voice mail or mixed-media documents, and for keyword indexing in single-speaker audio or video recordings. IMAGE
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