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公开(公告)号:US10762902B2
公开(公告)日:2020-09-01
申请号:US16186019
申请日:2018-11-09
Applicant: CISCO TECHNOLOGY, INC.
Inventor: Madhuri Garikapati , Eric Loyd Kroll , Manikandan Kesavan
IPC: G10L15/22 , G06F3/16 , G10L15/18 , G10L15/16 , G06F3/0484
Abstract: A system to dynamically update presentations based on context classification of voice inputs, comprising: a storage device and a processor communicatively coupled to the storage device, wherein the processor executes application code instructions that are stored in the storage device to cause the system to: display a first graphical user interface associated with a first context via a user interface, obtain a first voice input, determine one or more first terms from the first voice input, determine that the first voice input is related to a first context based on the one or more first terms, and in response to determining that the first voice input is related to the first context: modify the first graphical user interface associated with the first context and display the modified first graphical user interface associated with the first context via the user interface.
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公开(公告)号:US20200068041A1
公开(公告)日:2020-02-27
申请号:US16666518
申请日:2019-10-29
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo Fenoglio , Plamen Nedeltchev , Manikandan Kesavan , Joseph Friel
Abstract: In one embodiment, a device in a network monitors a plurality of traffic flows in the network. The device extracts a plurality of features from the monitored plurality of traffic flows. The device generates a context model by using deep learning and reinforcement learning on the plurality of features extracted from the monitored traffic flows. The device applies the context model to a particular traffic flow associated with a client, to determine a context for the particular traffic flow. The device personalizes data sent to the client from a remote source based on the determined context.
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公开(公告)号:US10477148B2
公开(公告)日:2019-11-12
申请号:US15646470
申请日:2017-07-11
Applicant: Cisco Technology, Inc.
Inventor: Paul Bright-Thomas , Nathan Buckles , Keith Griffin , Eric Chen , Manikandan Kesavan , Plamen Nedeltchev , Hugo Mike Latapie , Enzo Fenoglio
Abstract: Systems and methods are disclosed for anticipating a video switch to accommodate a new speaker in a video conference comprising a real time video stream captured by a camera local to a first videoconference endpoint is analyzed according to at least one speaker anticipation model. The speaker anticipation model predicts that a new speaker is about to speak. Video of the anticipated new speaker is sent to the conferencing server in response to a request for the video on the anticipated new speaker from the conferencing server. Video of the anticipated new speaker is distributed to at least a second videoconference endpoint.
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公开(公告)号:US10282414B2
公开(公告)日:2019-05-07
申请号:US15445059
申请日:2017-02-28
Applicant: Cisco Technology, Inc.
Inventor: Hugo Mike Latapie , Enzo Fenoglio , Guillaume Sauvage De Saint Marc , Monique Jeanne Morrow , Manikandan Kesavan
IPC: G06F3/0484 , G06F17/27 , G06N3/08
Abstract: In one embodiment, a method includes obtaining text from a user, applying the text to a deep learning neural network to generate a plurality of bias coordinates defining a point in an embedded space, and, in response to determining that at least one of the plurality of bias coordinates exceeds a threshold, providing an indication of bias to the user.
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公开(公告)号:US20180376108A1
公开(公告)日:2018-12-27
申请号:US15646470
申请日:2017-07-11
Applicant: Cisco Technology, Inc.
Inventor: Paul Bright-Thomas , Nathan Buckles , Keith Griffin , Eric Chen , Manikandan Kesavan , Plamen Nedeltchev , Hugo Mike Latapie , Enzo Fenoglio
CPC classification number: H04N7/152 , G06K9/00302 , G06K9/00711 , G06K9/00718 , G06K9/4628 , G06K9/6274 , G06K9/66 , G10L15/1815 , G10L25/57 , H04N7/147 , H04N7/15
Abstract: Systems and methods are disclosed for anticipating a video switch to accommodate a new speaker in a video conference comprising a real time video stream captured by a camera local to a first videoconference endpoint is analyzed according to at least one speaker anticipation model. The speaker anticipation model predicts that a new speaker is about to speak. Video of the anticipated new speaker is sent to the conferencing server in response to a request for the video on the anticipated new speaker from the conferencing server. Video of the anticipated new speaker is distributed to at least a second videoconference endpoint.
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