PREDICTING UTILIZATION OF A SHARED COLLABORATION RESOURCE

    公开(公告)号:US20210258180A1

    公开(公告)日:2021-08-19

    申请号:US17187140

    申请日:2021-02-26

    Abstract: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.

    Noise management during an online conference session

    公开(公告)号:US11688384B2

    公开(公告)日:2023-06-27

    申请号:US16993908

    申请日:2020-08-14

    CPC classification number: G10K11/17885 G06N20/00 H04L12/1822

    Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

    Noise management during an online conference session

    公开(公告)号:US12266337B2

    公开(公告)日:2025-04-01

    申请号:US18770037

    申请日:2024-07-11

    Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

    SINGLE INPUT VOICE AUTHENTICATION

    公开(公告)号:US20220083634A1

    公开(公告)日:2022-03-17

    申请号:US17018150

    申请日:2020-09-11

    Inventor: Eric Yi-hua Chen

    Abstract: A system and method for authenticating a user via a single voice audio input is disclosed. The method includes obtaining voice audio from a user, converting the voice audio to text, comparing at least a portion of the text to a database, determining whether a user profile exists in the database based on the comparing, the user profile including a voiceprint, in response to determining that the user profile exists in the database, analyzing the voice audio against the voiceprint of the user profile; and authenticating the user based on the voice audio substantially matching the voiceprint of the user profile.

    NOISE MANAGEMENT DURING AN ONLINE CONFERENCE SESSION

    公开(公告)号:US20240363095A1

    公开(公告)日:2024-10-31

    申请号:US18770037

    申请日:2024-07-11

    CPC classification number: G10K11/17885 G06N20/00 H04L12/1822

    Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

    Noise management during an online conference session

    公开(公告)号:US12039966B2

    公开(公告)日:2024-07-16

    申请号:US18303001

    申请日:2023-04-19

    CPC classification number: G10K11/17885 G06N20/00 H04L12/1822

    Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

    NOISE MANAGEMENT DURING AN ONLINE CONFERENCE SESSION

    公开(公告)号:US20230252970A1

    公开(公告)日:2023-08-10

    申请号:US18303001

    申请日:2023-04-19

    CPC classification number: G10K11/17885 H04L12/1822 G06N20/00

    Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

    Predicting utilization of a shared collaboration resource

    公开(公告)号:US11489682B2

    公开(公告)日:2022-11-01

    申请号:US17187140

    申请日:2021-02-26

    Abstract: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.

    Predicting utilization of a shared collaboration resource

    公开(公告)号:US10938587B2

    公开(公告)日:2021-03-02

    申请号:US15361828

    申请日:2016-11-28

    Abstract: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.

    PREDICTING UTILIZATION OF A SHARED COLLABORATION RESOURCE

    公开(公告)号:US20180152487A1

    公开(公告)日:2018-05-31

    申请号:US15361828

    申请日:2016-11-28

    CPC classification number: H04L12/1818

    Abstract: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.

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