DYNAMIC GAZETTEERS FOR PERSONALIZED ENTITY RECOGNITION

    公开(公告)号:US20190318737A1

    公开(公告)日:2019-10-17

    申请号:US16275074

    申请日:2019-02-13

    Abstract: In speech processing systems personalization is added in the Natural Language Understanding (NLU) processor by incorporating external knowledge sources of user information to improve entity recognition performance of the speech processing system. Personalization in the NLU is effected by incorporating one or more dictionaries of entries, or gazetteers, with information personal to a respective user, that provide the user's information to permit disambiguation of semantic interpretation for input utterances to improve quality of speech processing results.

    INPUT SPEECH QUALITY MATCHING
    2.
    发明申请
    INPUT SPEECH QUALITY MATCHING 审中-公开
    输入语音质量匹配

    公开(公告)号:US20160379638A1

    公开(公告)日:2016-12-29

    申请号:US14752128

    申请日:2015-06-26

    Abstract: A system matches text-to-speech (TTS) or other output to a quality of an input spoken utterance. The system uses trained models to detect a speech quality and generates an indicator of the speech quality. The speech quality may be determined from audio or non-audio data. The indicator is sent to downstream components of the system such as a command processor or TTS system. The output of the system is then determined using the indicator of speech quality, thus customizing an output of the system to the manner in which the utterance was spoken.

    Abstract translation: 系统将文本到语音(TTS)或其他输出与输入口头语音的质量相匹配。 该系统使用经过训练的模型来检测语音质量并产生语音质量的指标。 可以从音频或非音频数据确定语音质量。 指示符发送到系统的下游组件,如命令处理器或TTS系统。 然后使用语音质量的指示符来确定系统的输出,从而将系统的输出定制为说话的方式。

    Dynamic gazetteers for personalized entity recognition

    公开(公告)号:US10224030B1

    公开(公告)日:2019-03-05

    申请号:US13828063

    申请日:2013-03-14

    Abstract: In speech processing systems personalization is added in the Natural Language Understanding (NLU) processor by incorporating external knowledge sources of user information to improve entity recognition performance of the speech processing system. Personalization in the NLU is effected by incorporating one or more dictionaries of entries, or gazetteers, with information personal to a respective user, that provide the user's information to permit disambiguation of semantic interpretation for input utterances to improve quality of speech processing results.

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