METHOD AND APPARATUS FOR SPEECH RECOGNITION
    1.
    发明申请

    公开(公告)号:US20200035228A1

    公开(公告)日:2020-01-30

    申请号:US16595249

    申请日:2019-10-07

    Abstract: Disclosed are a method and an apparatus for speech recognition. In a method for processing speech recognition according to an embodiment of the disclosure, a relationship of a named entity is extracted and each named entity is clustered based on the extracted relationship of the named entity. An utterance intent is grasped by considering not only information about the named entity itself, but also relationship information of the clustered named entity tagged in the named entity, which may result in improvement of accuracy of speech recognition in the apparatus for speech recognition. A user equipment of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

    ARTIFICIAL INTELLIGENCE APPARATUS AND METHOD FOR GENERATING NAMED ENTITY TABLE

    公开(公告)号:US20210334461A1

    公开(公告)日:2021-10-28

    申请号:US16604428

    申请日:2019-08-30

    Abstract: According to an embodiment of the present disclosure, there is provided an artificial intelligence apparatus for generating a named entity table, the artificial intelligence apparatus including: a memory configured to store a first text, first metadata, and a first named entity table, which correspond to each of a plurality of first domains; and a processor configured to: learn a named entity table generation model using the stored first text, the stored first metadata, and the stored first named entity table, and generate a second named entity table corresponding to a second text and second metadata of a second domain different from the plurality of first domains, using the learned named entity table generation model.

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