Updating trained voice bot(s) utilizing example-based voice bot development techniques

    公开(公告)号:US12255856B2

    公开(公告)日:2025-03-18

    申请号:US18403401

    申请日:2024-01-03

    Applicant: GOOGLE LLC

    Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.

    UPDATING TRAINED VOICE BOT(S) UTILIZING EXAMPLE-BASED VOICE BOT DEVELOPMENT TECHNIQUES

    公开(公告)号:US20220255885A1

    公开(公告)日:2022-08-11

    申请号:US17170300

    申请日:2021-02-08

    Applicant: GOOGLE LLC

    Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.

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