Information presentation method, non-transitory recording medium storing thereon computer program, and information presentation system

    公开(公告)号:US10216732B2

    公开(公告)日:2019-02-26

    申请号:US15641319

    申请日:2017-07-05

    Abstract: An information presentation method, a non-transitory recording medium storing thereon a computer program, and an information presentation system relate to speech recognition. A speech recognition unit performs speech recognition on speech pertaining to a dialogue and thereby generates dialogue text, a translation unit translates the dialogue text and thereby generates translated dialogue text, and a speech waveform synthesis unit performs speech synthesis on the translated dialogue text and thereby generates translated dialogue speech. An intention understanding unit then determines whether supplementary information exists, based on the dialogue text. If supplementary information exists, a communication unit transmits the supplementary information and the translated dialogue speech to a terminal to present the existence of the supplementary information to at least one person from among a plurality of people, according to the usage situation of the information presentation system of the at least one person.

    SYSTEMS AND METHODS FOR GENERATING A FORECAST OF A TIMESERIES

    公开(公告)号:US20240119470A1

    公开(公告)日:2024-04-11

    申请号:US17955053

    申请日:2022-09-28

    CPC classification number: G06Q30/0202

    Abstract: According to an embodiment, a method for generating a forecast of a timeseries is disclosed. The method comprises receiving a set of features comprising data and timeseries to be used by each of a plurality of prediction models for generating the forecast. Further, the method comprises generating using the set of features, a plurality of forecast results based on an ensemble of the plurality of prediction models. Furthermore, the method comprises optimizing the plurality of forecast results associated with a respective forecast module. Additionally, the method comprises probabilistically combining the outputs of the plurality of optimization modules. Moreover, the method comprises outputting a final forecast based on the combination of the at least two forecast results.

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