Compact Speaker Device
    1.
    发明申请

    公开(公告)号:US20210233531A1

    公开(公告)日:2021-07-29

    申请号:US17230247

    申请日:2021-04-14

    Applicant: Google LLC

    Abstract: This application is directed to a speaker device having a rounded enclosure. The rounded enclosure includes two housing elements that are coupled to each other and have a substantially continuous transition. The rounded enclosure has a circular cross section defined by a first radius. A first housing element includes and extends past the circular cross section, and a second housing element has a second maximum radius that is smaller than the first radius. A speaker unit and a circuit board are arranged within the rounded enclosure. The circuit board is electrically coupled to the speaker unit. At least a portion of the first housing element includes perforations configured to enable transmission of sound generated by the speaker unit out of the speaker device. The second housing element has a power connector that is electrically coupled to the circuit board and is configured to receive power from an external power supply.

    Predicting topics of potential relevance based on retrieved/created digital media files

    公开(公告)号:US11580157B2

    公开(公告)日:2023-02-14

    申请号:US17097110

    申请日:2020-11-13

    Applicant: Google LLC

    Inventor: Robert Rose Qun Cao

    Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

    Predicting topics of potential relevance based on retrieved/created digital media files

    公开(公告)号:US11971925B2

    公开(公告)日:2024-04-30

    申请号:US18094245

    申请日:2023-01-06

    Applicant: GOOGLE LLC

    Inventor: Robert Rose Qun Cao

    CPC classification number: G06F16/5838 G06F16/144 G06N20/00

    Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

    PREDICTING TOPICS OF POTENTIAL RELEVANCE BASED ON RETRIEVED/CREATED DIGITAL MEDIA FILES

    公开(公告)号:US20190392055A1

    公开(公告)日:2019-12-26

    申请号:US16014730

    申请日:2018-06-21

    Applicant: Google LLC

    Inventor: Robert Rose Qun Cao

    Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

    Compact Speaker Device
    6.
    发明申请

    公开(公告)号:US20190259385A1

    公开(公告)日:2019-08-22

    申请号:US16285061

    申请日:2019-02-25

    Applicant: GOOGLE LLC

    Abstract: This application is directed to a speaker device having a rounded enclosure. The rounded enclosure includes two housing elements that are coupled to each other and have a substantially continuous transition. The rounded enclosure has a circular cross section defined by a first radius. A first housing element includes and extends past the circular cross section, and a second housing element has a second maximum radius that is smaller than the first radius. A speaker unit and a circuit board are arranged within the rounded enclosure. The circuit board is electrically coupled to the speaker unit. At least a portion of the first housing element includes perforations configured to enable transmission of sound generated by the speaker unit out of the speaker device. The second housing element has a power connector that is electrically coupled to the circuit board and is configured to receive power from an external power supply.

    Compact speaker device
    8.
    发明授权

    公开(公告)号:US11011168B2

    公开(公告)日:2021-05-18

    申请号:US16285061

    申请日:2019-02-25

    Applicant: GOOGLE LLC

    Abstract: This application is directed to a speaker device having a rounded enclosure. The rounded enclosure includes two housing elements that are coupled to each other and have a substantially continuous transition. The rounded enclosure has a circular cross section defined by a first radius. A first housing element includes and extends past the circular cross section, and a second housing element has a second maximum radius that is smaller than the first radius. A speaker unit and a circuit board are arranged within the rounded enclosure. The circuit board is electrically coupled to the speaker unit. At least a portion of the first housing element includes perforations configured to enable transmission of sound generated by the speaker unit out of the speaker device. The second housing element has a power connector that is electrically coupled to the circuit board and is configured to receive power from an external power supply.

    PREDICTING TOPICS OF POTENTIAL RELEVANCE BASED ON RETRIEVED/CREATED DIGITAL MEDIA FILES

    公开(公告)号:US20210064653A1

    公开(公告)日:2021-03-04

    申请号:US17097110

    申请日:2020-11-13

    Applicant: Google LLC

    Inventor: Robert Rose Qun Cao

    Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

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