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公开(公告)号:US20210258180A1
公开(公告)日:2021-08-19
申请号:US17187140
申请日:2021-02-26
Applicant: Cisco Technology, Inc.
Inventor: Keith Griffin , Eric Yi-hua Chen , Daniel Victor Eskenazi
IPC: H04L12/18
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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公开(公告)号:US11688384B2
公开(公告)日:2023-06-27
申请号:US16993908
申请日:2020-08-14
Applicant: Cisco Technology, Inc.
Inventor: Bjørn Winsvold , Eric Yi-hua Chen , Wei-Lien Hsu , Pi-Hsin Liu
IPC: G10K11/178 , H04L12/18 , G06N20/00
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.
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公开(公告)号:US12266337B2
公开(公告)日:2025-04-01
申请号:US18770037
申请日:2024-07-11
Applicant: Cisco Technology, Inc.
Inventor: Bjørn Winsvold , Eric Yi-hua Chen , Wei-Lien Hsu , Pi-Hsin Liu
IPC: G10K15/00 , G06N20/00 , G10K11/178 , H04L12/18
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.
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公开(公告)号:US20220083634A1
公开(公告)日:2022-03-17
申请号:US17018150
申请日:2020-09-11
Applicant: Cisco Technology, Inc.
Inventor: Eric Yi-hua Chen
IPC: G06F21/32 , G10L15/26 , G06K9/00 , G06F16/635
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.
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公开(公告)号:US20240363095A1
公开(公告)日:2024-10-31
申请号:US18770037
申请日:2024-07-11
Applicant: Cisco Technology, Inc.
Inventor: Bjørn Winsvold , Eric Yi-hua Chen , Wei-Lien Hsu , Pi-Hsin Liu
IPC: G10K11/178 , G06N20/00 , H04L12/18
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.
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公开(公告)号:US12039966B2
公开(公告)日:2024-07-16
申请号:US18303001
申请日:2023-04-19
Applicant: Cisco Technology, Inc.
Inventor: Bjørn Winsvold , Eric Yi-hua Chen , Wei-Lien Hsu , Pi-Hsin Liu
IPC: G10K11/178 , G06N20/00 , H04L12/18
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.
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公开(公告)号:US20230252970A1
公开(公告)日:2023-08-10
申请号:US18303001
申请日:2023-04-19
Applicant: Cisco Technology, Inc.
Inventor: Bjørn Winsvold , Eric Yi-hua Chen , Wei-Lien Hsu , Pi-Hsin Liu
IPC: G10K11/178 , H04L12/18 , G06N20/00
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.
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公开(公告)号:US11489682B2
公开(公告)日:2022-11-01
申请号:US17187140
申请日:2021-02-26
Applicant: Cisco Technology, Inc.
Inventor: Keith Griffin , Eric Yi-hua Chen , Daniel Victor Eskenazi
IPC: H04L12/18
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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公开(公告)号:US10938587B2
公开(公告)日:2021-03-02
申请号:US15361828
申请日:2016-11-28
Applicant: Cisco Technology, Inc.
Inventor: Keith Griffin , Eric Yi-hua Chen , Daniel Victor Eskenazi
IPC: H04L12/18
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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公开(公告)号:US20180152487A1
公开(公告)日:2018-05-31
申请号:US15361828
申请日:2016-11-28
Applicant: Cisco Technology, Inc.
Inventor: Keith Griffin , Eric Yi-hua Chen , Daniel Victor Eskenazi
IPC: H04L29/06 , H04L12/911
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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