SPEECH RECOGNITION USING MODELS ASSOCIATED WITH A GEOGRAPHIC LOCATION
    1.
    发明公开
    SPEECH RECOGNITION USING MODELS ASSOCIATED WITH A GEOGRAPHIC LOCATION 审中-公开
    使用与地理位置相关的模型进行语音识别

    公开(公告)号:EP3198593A1

    公开(公告)日:2017-08-02

    申请号:EP15827991.9

    申请日:2015-07-31

    申请人: Maluuba Inc.

    CPC分类号: G10L15/18

    摘要: A natural language system for recognizing geographic specific language embodied within a query received at a computing device is disclosed. A given territory such as a country may be divided into sub-territories. The data source content may be limited to a predetermined number 5 of each type of entity determined by establishing a radius for each type of entity from the center of the particular sub-territory, and only including each entity with the distance of the radius. One or more sentence templates may be gathered from common queries, and training sentences may be created by substituting entities into the sentence patterns. When the natural language system receives a query, the system may apply a speech recognition module associated with 10 the geographic location of the computing device so that geographic specific language such as businesses, street and cities may be recognized by the particular speech recognition model.

    摘要翻译: 公开了一种用于识别在计算设备处接收的查询内包含的地理特定语言的自然语言系统。 一个特定的领土,如一个国家,可能会被划分为分区域。 数据源内容可以被限制为通过为来自特定子领土的中心的每种类型的实体建立半径而确定的每种类型的实体的预定数量5,并且仅包括具有半径距离的每个实体。 可以从普通查询中收集一个或多个句子模板,并且可以通过将实体替换为句子模式来创建训练句子。 当自然语言系统接收查询时,系统可以应用与计算设备的地理位置相关联的语音识别模块,使得诸如商业,街道和城市的地理特定语言可以被特定语音识别模型识别。