USER INTERFACE FOR CORRECTING RECOGNITION ERRORS

    公开(公告)号:US20190318739A1

    公开(公告)日:2019-10-17

    申请号:US16412137

    申请日:2019-05-14

    Applicant: Apple Inc.

    Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.

    MACHINE LEARNED SYSTEMS
    3.
    发明申请

    公开(公告)号:US20180330714A1

    公开(公告)日:2018-11-15

    申请号:US15917230

    申请日:2018-03-09

    Applicant: Apple Inc.

    CPC classification number: G10L15/01 G06F15/18 G10L15/16 G10L15/19

    Abstract: Systems and processes for improved machine-learned systems are provided. In accordance with one example, a method includes receiving a first speech recognition result and a first accuracy score corresponding to the first speech recognition result; receiving, from another electronic device, a second speech recognition result and a second accuracy score corresponding to the second recognition result; determining whether the second accuracy score is greater than the first accuracy score; in accordance with a determination that the second accuracy score is greater than the first accuracy score, providing a speech recognition system of the electronic device based on the second speech recognition result; and in accordance with a determination that the second accuracy score is not greater than the first accuracy score, forgoing providing a speech recognition system of the electronic device based on the second speech recognition result.

    PRIVACY PRESERVING DISTRIBUTED EVALUATION FRAMEWORK FOR EMBEDDED PERSONALIZED SYSTEMS

    公开(公告)号:US20170352346A1

    公开(公告)日:2017-12-07

    申请号:US15266949

    申请日:2016-09-15

    Applicant: Apple Inc.

    Abstract: Systems and processes for evaluating embedded personalized systems are provided. In one example process, instructions that define an experiment associated with a personalized speech recognition system can be received. The instructions can define one or more experimental parameters. In accordance with the received instructions, a second personalized speech recognition system can be generated based on the personalized speech recognition system and the one or more experimental parameters. Additionally, the plurality of user speech samples can be processed using the second personalized speech recognition system to generate a plurality of speech recognition results and a plurality of accuracy scores corresponding to the plurality of speech recognition results. Second instructions can be received based on the plurality of accuracy scores. In accordance with the second instructions, the second speech recognition system can be activated.

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