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    • 6. 发明申请
    • SPEECH RECOGNITION USING MULTIPLE LANGUAGE MODELS
    • 使用多种语言模型进行语音识别
    • US20120271631A1
    • 2012-10-25
    • US13450861
    • 2012-04-19
    • Fuliang WengZhe FengKui XuLin Zhao
    • Fuliang WengZhe FengKui XuLin Zhao
    • G10L15/06
    • G10L15/32G10L15/063G10L15/18G10L15/193G10L15/197G10L15/30
    • In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.
    • 根据一个实施例,一种生成用于语音识别的语言模型的方法包括:识别与语音相对应的训练数据中的多个话语,产生多个话语中的每个发声的频率计数,从多个话语中产生高频多个话语 所述多个话音具有超过预定频率阈值的频率,从具有低于所述预定频率阈值的频率的所述多个话语中产生低频多个话语,使用所述高频率生成基于语法的语言模型 多个话语作为训练数据,并且使用低频多个话语生成统计语言模型作为训练数据。