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    • 9. 发明授权
    • Speech recognition method and system based on user personalized information
    • 基于用户个性化信息的语音识别方法和系统
    • US09564127B2
    • 2017-02-07
    • US14655946
    • 2013-12-20
    • IFLYTEK CO., LTD.
    • Qinghua PanTingting HeGuoping HuYu HuQingfeng Liu
    • G10L15/187G10L15/18G06F3/16G10L19/00G10L15/14G10L15/08G10L15/22G10L15/197
    • G10L15/18G06F3/167G10L15/083G10L15/14G10L15/187G10L15/197G10L19/00G10L2015/227
    • The present invention relates to a speech recognition method and system based on user personalized information. The method comprises the following steps: receiving a speech signal; decoding the speech signal according to a basic static decoding network to obtain a decoding path on each active node in the basic static decoding network, wherein the basic static decoding network is a decoding network associated with a basic name language model; if a decoding path enters a name node in the basic static decoding network, network extending is carried out on the name node according to an affiliated static decoding network of a user, wherein the affiliated static decoding network is a decoding network associated with a name language model of a particular user; and returning a recognition result after the decoding is completed. The recognition accuracy rate of user personalized information in continuous speech recognition may be raised by using the present invention.
    • 本发明涉及一种基于用户个性化信息的语音识别方法和系统。 该方法包括以下步骤:接收语音信号; 根据基本静态解码网络解码语音信号,以在基本静态解码网络中的每个主动节点上获得解码路径,其中基本静态解码网络是与基本名称语言模型相关联的解码网络; 如果解码路径进入基本静态解码网络中的名称节点,则根据用户的附属静态解码网络在名称节点上执行网络扩展,其中附属静态解码网络是与名称语言相关联的解码网络 特定用户的模型; 并且在解码完成之后返回识别结果。 可以通过使用本发明来提高连续语音识别中的用户个性化信息的识别准确率。