Systems and methods for selectively providing audio alerts

    公开(公告)号:US11437010B2

    公开(公告)日:2022-09-06

    申请号:US17252780

    申请日:2018-10-29

    Abstract: Systems and methods for selectively providing audio alerts via a speaker device are disclosed herein. A system plays first audio content through a speaker. A microphone captures second audio content comprising an alert. Output of the second audio content through the speaker is suppressed by using noise cancellation. The system identifies the alert within the second audio content and determines a priority level of the alert. The system determines, based on the priority level, that the alert should be reproduced, and audibly reproduces the alert via the speaker, with the first audio content or instead of the first audio content.

    SYSTEMS AND METHODS FOR SELECTIVELY PROVIDING AUDIO ALERTS

    公开(公告)号:US20210256952A1

    公开(公告)日:2021-08-19

    申请号:US17252780

    申请日:2018-10-29

    Abstract: Systems and methods for selectively providing audio alerts via a speaker device are disclosed herein. A system plays first audio content through a speaker. A microphone captures second audio content comprising an alert. Output of the second audio content through the speaker is suppressed by using noise cancellation. The system identifies the alert within the second audio content and determines a priority level of the alert. The system determines, based on the priority level, that the alert should be reproduced, and audibly reproduces the alert via the speaker, with the first audio content or instead of the first audio content.

    CONTENT RECOMMENDATION BASED ON A SYSTEM PREDICTION AND USER BEHAVIOR

    公开(公告)号:US20240121478A1

    公开(公告)日:2024-04-11

    申请号:US18545354

    申请日:2023-12-19

    CPC classification number: H04N21/47214 H04N21/4663 H04N21/4668

    Abstract: Systems and methods for generating a content item based on a difference between a user confidence score and a confidence score are disclosed. For example, a system generates for output a first content item. While the first content item is being outputted, the system receives user data via sensors of a device. The system determines a user confidence score based on the user data and metadata of the first content item. The user confidence score indicates a user's perceived probability of an event occurring in the future. The system calculates a prediction score which estimates the likelihood of the event occurring in the future. In response to determining that the difference between the user confidence score and the prediction score exceeds a threshold, the system selects a second content item related to the event and generates for output a recommendation comprising an identifier of the second content item.

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