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公开(公告)号:US12001780B1
公开(公告)日:2024-06-04
申请号:US18350677
申请日:2023-07-11
Applicant: Suki AI, Inc.
IPC: G06F17/00 , G06F40/169 , G06F40/186 , G16H15/00
CPC classification number: G06F40/169 , G06F40/186 , G16H15/00
Abstract: Systems and methods to maintain amends to an annotation as discrete chronological events are disclosed. Exemplary implementations may: obtain a selection of a first annotation template for a first annotation via a client computing platform; generate a root node based on the selection of the first annotation template; obtain a first command to update to the first annotation; append a first update node to the root node responsive to the first command; obtain a second command to update to the first annotation; append a second update node to the first node responsive to the second command; receive an indication to present the first annotation; generate, responsive to the indication, the first annotation by populating the first annotation template included in the root node based on the first node set and in sequential order indicated by the edges; and effectuate presentation of the first annotation.
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公开(公告)号:US11734502B1
公开(公告)日:2023-08-22
申请号:US18072984
申请日:2022-12-01
Applicant: Suki AI, Inc.
IPC: G06F17/00 , G06F40/169 , G06F40/186 , G16H15/00
CPC classification number: G06F40/169 , G06F40/186 , G16H15/00
Abstract: Systems and methods to maintain amends to an annotation as discrete chronological events are disclosed. Exemplary implementations may: obtain a selection of a first annotation template for a first annotation via a client computing platform; generate a root node based on the selection of the first annotation template; obtain a first command to update to the first annotation; append a first update node to the root node responsive to the first command; obtain a second command to update to the first annotation; append a second update node to the first node responsive to the second command; receive an indication to present the first annotation; generate, responsive to the indication, the first annotation by populating the first annotation template included in the root node based on the first node set and in sequential order indicated by the edges; and effectuate presentation of the first annotation.
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公开(公告)号:US20230088755A1
公开(公告)日:2023-03-23
申请号:US18070989
申请日:2022-11-29
Applicant: Suki AI, Inc.
Inventor: Ahmad Badary
Abstract: Systems and methods to group terms based on context to facilitate determining intent of a command are disclosed. Exemplary implementations to train a model: obtain a set of writings within a particular knowledge domain; obtain a vector generation model that generates vectors for individual instances of the terms in the set of writings; generate a first set of vectors that represent the instances of a first term and other vectors that represent instances of the other terms of the set of writings; train the vector generation model to group the vectors of a similar context in a space of a vector space; obtain a transcript include a new term generated from user audio dictation; generate a new vector that represent the instance of the new term; obtain the space; compare the new vector with the space; utilize the new term as the first term.
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4.
公开(公告)号:US20230084977A1
公开(公告)日:2023-03-16
申请号:US17990235
申请日:2022-11-18
Applicant: Suki AI, Inc.
Inventor: Matt Pallakoff
IPC: G06F3/16 , G06F40/166 , G06F3/0488 , G10L15/22 , G16H10/60 , G06F3/0486
Abstract: Systems and methods to accept speech input and edit a note upon receipt of an indication to edit are disclosed. Exemplary implementations may: effectuate presentation of a graphical user interface that includes a note, the note including note sections, the note sections including a first note section, the individual note sections including body fields; obtain user input from the client computing platform, the user input representing an indication to edit a first body field of the first note section; obtain audio information representing sound captured by an audio section of the client computing platform, the audio information including value definition information specifying one or more values to be included in the individual body fields; perform speech recognition on the audio information to obtain a first value; and populate the first body field with the first value so that the first value is included in the first body field.
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公开(公告)号:US20230072655A1
公开(公告)日:2023-03-09
申请号:US17989449
申请日:2022-11-17
Applicant: Suki AI, Inc.
Inventor: Maneesh Dewan , Jatin Chhugani , Ganesh Satish Mallya , Alan Diec , Vamsi Reddy Chagari , Sudheer Tumu , Nithyanand Kota
IPC: G10L15/22 , G06F3/04842 , G10L15/02
Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.
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公开(公告)号:US11538465B1
公开(公告)日:2022-12-27
申请号:US16678453
申请日:2019-11-08
Applicant: Suki AI, Inc.
Inventor: Ahmad Badary
Abstract: Systems and methods to group terms based on context to facilitate determining intent of a command are disclosed. Exemplary implementations to train a model: obtain a set of writings within a particular knowledge domain; obtain a vector generation model that generates vectors for individual instances of the terms in the set of writings; generate a first set of vectors that represent the instances of a first term and other vectors that represent instances of the other terms of the set of writings; train the vector generation model to group the vectors of a similar context in a space of a vector space; obtain a transcript include a new term generated from user audio dictation; generate a new vector that represent the instance of the new term; obtain the space; compare the new vector with the space; utilize the new term as the first term.
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公开(公告)号:US10971151B1
公开(公告)日:2021-04-06
申请号:US16526105
申请日:2019-07-30
Applicant: Suki AI, Inc.
Inventor: Karthik Rajan , Sanket Agarwal , Baron Reznik
Abstract: Systems, methods, and storage media for performing actions in response to a determined spoken command of a user are disclosed. Exemplary implementations may: output audio information representing sounds within audible range of a mobile client computing platform in an ongoing manner; cause the audio information to be wirelessly transmitted over a network; receive the audio information transmitted from the mobile client computing platform; perform speech recognition on the audio information to identify any spoken instances of a predetermined keyword; responsive to identification of a spoken instance of the predetermined keyword, identify a spoken command in speech temporally adjacent to the spoken instance of the predetermined keyword that is present in the sounds represented by the audio information; and effectuate transmission of instructions corresponding to the spoken command to the wireless transmitter of the mobile client computing platform to cause the mobile client computing platform to execute the spoken command.
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公开(公告)号:US11798537B2
公开(公告)日:2023-10-24
申请号:US18070989
申请日:2022-11-29
Applicant: Suki AI, Inc.
Inventor: Ahmad Badary
CPC classification number: G10L15/1815 , G06F40/211 , G06F40/30 , G06N7/01 , G06N20/00 , G10L15/22 , G10L2015/223
Abstract: Systems and methods to group terms based on context to facilitate determining intent of a command are disclosed. Exemplary implementations to train a model: obtain a set of writings within a particular knowledge domain; obtain a vector generation model that generates vectors for individual instances of the terms in the set of writings; generate a first set of vectors that represent the instances of a first term and other vectors that represent instances of the other terms of the set of writings; train the vector generation model to group the vectors of a similar context in a space of a vector space; obtain a transcript include a new term generated from user audio dictation; generate a new vector that represent the instance of the new term; obtain the space; compare the new vector with the space; utilize the new term as the first term.
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9.
公开(公告)号:US11670291B1
公开(公告)日:2023-06-06
申请号:US16283041
申请日:2019-02-22
Applicant: Suki AI, Inc.
Inventor: Punit Soni , Karthik Rajan , Erin Palm , Matthew Pallakoff , Sanket Agarwal
IPC: G06F40/166 , G06F40/247 , G16H15/00 , G10L15/22 , G10L15/30
CPC classification number: G10L15/22 , G06F40/166 , G10L15/30 , G10L2015/223
Abstract: Systems, methods, and storage media for providing an interface for textual editing through speech are disclosed. One aspect of the disclosure may include storing a narrative textual message and presenting the narrative textual message via a client computing platform. Speech uttered by a user may be received. Speech recognition may be performed on the speech to determine words spoken by the user. The words determined from the speech may be analyzed to detect whether an editing command was spoken. The editing command may include a parameter and an edited value for the parameter. The editing command may be processed to insert the edited value for the parameter or replace an initial value to the parameter with the edited value. Information may be transmitted to the client computing platform that causes the narrative textual message to be visually presented including edits based on the editing command.
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10.
公开(公告)号:US11630943B2
公开(公告)日:2023-04-18
申请号:US17875052
申请日:2022-07-27
Applicant: Suki AI, Inc.
Inventor: Nithyanand Kota , Yashas Rao , Hao Ran Raymond Lin , Maneesh Dewan , Arunan Rabindran , Jatin Chhugani , Sudheer Tumu
Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.
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