HarkMan—A Vocabulary-Independent Keyword Spotter for Spontaneons Chinese Speech |
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作者姓名: | ZHENG Fang XU Mingxing MOU Xiaolong WU Jian WU Wenhu FANG Ditang |
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作者单位: | [1]SpeechLaboratory,DepartmentofComputerScienceandTechnology,TsinghuaUniversityBeijing100084,P,R.China [2]S,DepartmentofComputerScienceandTechnology,TsinghuaUniversityBeijing100084,P,R.China |
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摘 要: | In this paper,a noverl technique adopted in HarkMan is introduced.HarkMan is a keywore-spotter designed to automatically spot the given words of a vocabulary-independent task in unconstrained Chinese telephone speech.The speaking manner and the number of keywords are not limited.This paper focuses on the novel technique which addresses acoustic modeling,keyword spotting network,search strategies,robustness,and rejection.The underlying technologies used in HarkMan given in this paper are useful not only for keyword spotting but also for continuous speech recognition.The system has achieved a figure-of-merit value over 90%.
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关 键 词: | 语言识别 关键字定位 汉语信息处理 |
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