Automated recognition system for natural language understanding

    公开(公告)号:US10810997B2

    公开(公告)日:2020-10-20

    申请号:US16155813

    申请日:2018-10-09

    Abstract: An interactive response system directs input to a software-based router, which is able to intelligently respond to the input by drawing on a combination of human agents, advanced recognition and expert systems. The system utilizes human “intent analysts” for purposes of interpreting customer input. Automated recognition subsystems are trained by coupling customer input with IA-selected intent corresponding to the input, using model-updating subsystems to develop the training information for the automated recognition subsystems.

    AUTOMATED RECOGNITION SYSTEM FOR NATURAL LANGUAGE UNDERSTANDING

    公开(公告)号:US20190043484A1

    公开(公告)日:2019-02-07

    申请号:US16155813

    申请日:2018-10-09

    Abstract: An interactive response system directs input to a software-based router, which is able to intelligently respond to the input by drawing on a combination of human agents, advanced recognition and expert systems. The system utilizes human “intent analysts” for purposes of interpreting customer input. Automated recognition subsystems are trained by coupling customer input with IA-selected intent corresponding to the input, using model-updating subsystems to develop the training information for the automated recognition subsystems.

    Automated speech recognition proxy system for natural language understanding
    5.
    发明授权
    Automated speech recognition proxy system for natural language understanding 有权
    自动语音识别代理系统,用于自然语言理解

    公开(公告)号:US09245525B2

    公开(公告)日:2016-01-26

    申请号:US13936440

    申请日:2013-07-08

    Abstract: An interactive response system mixes HSR subsystems with ASR subsystems to facilitate overall capability of voice user interfaces. The system permits imperfect ASR subsystems to nonetheless relieve burden on HSR subsystems. An ASR proxy is used to implement an IVR system, and the proxy dynamically determines how many ASR and HSR subsystems are to perform recognition for any particular utterance, based on factors such as confidence thresholds of the ASRs and availability of human resources for HSRs.

    Abstract translation: 交互响应系统将HSR子系统与ASR子系统相结合,以便于语音用户界面的整体能力。 该系统允许不完美的ASR子系统,以缓解HSR子系统的负担。 ASR代理用于实现IVR系统,代理根据诸如ASR的置信阈值和HSR的人力资源的可用性等因素,动态地确定ASR和HSR子系统对任何特定话语进行识别的程度。

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