USER-REALISTIC PATH SYNTHESIS VIA MULTI-TASK GENERATIVE ADVERSARIAL NETWORKS FOR CONTINUOUS PATH KEYBOARD INPUT

    公开(公告)号:US20200379640A1

    公开(公告)日:2020-12-03

    申请号:US16576113

    申请日:2019-09-19

    Applicant: Apple Inc.

    Abstract: An example method includes at an electronic device with one or more processors and memory: obtaining first data representing a user-generated keyboard path for one or more words; obtaining second data representing a synthetic keyboard path for the one or more words; generating, using a first instance of a generative network, based on the first data and the second data, third data representing a modification of the synthetic keyboard path; determining whether the third data represent a second user-generated keyboard path; determining whether the third data represent the one or more words; and in accordance with a determination that the third data represent a second user-generated keyboard path and a determination that the third data represent the one or more words: training a model for keyboard path recognition based on the third data.

    MULTI-MODAL LANGUAGE INTERPRETATION USING UNIFIED INPUT MODEL

    公开(公告)号:US20220391585A1

    公开(公告)日:2022-12-08

    申请号:US17411790

    申请日:2021-08-25

    Applicant: Apple Inc.

    Abstract: Systems and processes for multi-modal input interpretation are provided. For example, an input associated with a touch is received from a user. A first reconstruction based on the input is determined. A first simulated input is obtained based on a modification of the input. A second reconstruction is determined based on the first reconstruction and the first simulated input. Based on at least the first reconstruction and the second reconstruction, a probability representation is obtained. An output is determined, by a language model, based on the probability representation. The output is then provided to the user.

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