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公开(公告)号：US12073851B2
公开(公告)日：2024-08-27
申请号：US17811868
申请日：2022-07-11
Applicant: BetterUp, Inc.
Inventor： Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Rosen Kellerman , Ryan Sonnek
IPC: G10L25/00 , G06N5/04 , G06N20/00 , G06V10/764 , G06V10/774 , G10L15/04 , G10L15/16 , G10L15/22 , G10L15/24 , G10L25/48 , G10L25/63 , G06V40/16 , G06V40/18
CPC classification number: G10L25/48 , G06N5/04 , G06N20/00 , G06V10/764 , G06V10/774 , G10L15/04 , G10L15/16 , G10L15/22 , G10L15/24 , G10L25/63 , G06V40/174 , G06V40/18
Abstract: Technology is provided for conversation analysis. The technology includes, receiving multiple utterance representations, where each utterance representation represents a portion of a conversation performed by at least two users, and each utterance representation is associated with video data, acoustic data, and text data. The technology further includes generating a first utterance output by applying video data, acoustic data, and text data of the first utterance representation to a respective video processing part of the machine learning system to generate video, text, and acoustic-based outputs. A second utterance output is further generated for a second user. Conversation analysis indicators are generated by applying, to a sequential machine learning system the combined speaker features and a previous state of the sequential machine learning system.
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公开(公告)号：US20230083298A1
公开(公告)日：2023-03-16
申请号：US18051828
申请日：2022-11-01
Applicant: BetterUp, Inc.
Inventor： Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Rosen Kellerman , Ryan Sonnek
Abstract: Technology is provided for identifying synthesized conversation features from recorded conversations. The technology can identify, for each of one or more utterances, data for multiple modalities, such as acoustic data, video data, and text data. The technology can extract features, for each particular utterance of the one or more utterances, from each of the data for the multiple modalities associated with that particular utterance. The technology can also apply a machine learning model that receives the extracted features and/or previously synthesized conversation features and produces one or more additional synthesized conversation features.
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公开(公告)号：US11417330B2
公开(公告)日：2022-08-16
申请号：US16798242
申请日：2020-02-21
Applicant: BetterUp, Inc.
Inventor： Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Kellerman , Ryan Sonnek
Abstract: Technology is provided for conversation analysis. The technology includes, receiving multiple utterance representations, where each utterance representation represents a portion of a conversation performed by at least two users, and each utterance representation is associated with video data, acoustic data, and text data. The technology further includes generating a first utterance output by applying video data, acoustic data, and text data of the first utterance representation to a respective video processing part of the machine learning system to generate video, text, and acoustic-based outputs. A second utterance output is further generated for a second user. Conversation analysis indicators are generated by applying, to a sequential machine learning system the combined speaker features and a previous state of the sequential machine learning system.
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公开(公告)号：US20210264162A1
公开(公告)日：2021-08-26
申请号：US16798244
申请日：2020-02-21
Applicant: BetterUp, Inc.
Inventor： Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Rosen Kellerman , Ryan Sonnek
Abstract: Technology is provided for generating conversation features for recorded conversations. The technology includes, receiving videos depicting a multiple-user interaction, segmenting the videos into multiple utterances based on identifying utterances from individual users, receiving label data for the utterance segments specifying conversation features, and storing the label data in association with the utterance segments.
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公开(公告)号：US11024189B2
公开(公告)日：2021-06-01
申请号：US15853535
申请日：2017-12-22
Applicant: BetterUp, Inc.
Inventor： Alexi Robichaux , Eduardo Medina , Ryan Sonnek
Abstract: Some embodiments of a virtual coaching platform can analyze user and coach characteristics to determine suggested coaching partnerships. Some virtual coaching platform embodiments can implement whole-person dimensionalities used to track progress and provide coaching resources and guidance. In some implementations, the virtual coaching platform can provide six whole-person dimensions including: centered, aware, agile, includes, elevates, and drives. Some virtual coaching platform embodiments can select a subset of the dimensionalities to update using determined associations between a user and the dimensionalities. Some virtual coaching platform embodiments can implement a motivational matrix to assess a user in a readiness versus clarity domain and provide coaching suggestions based on a corresponding type.
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Patent Agency Ranking
公开(公告)号：US20240371393A1
公开(公告)日：2024-11-07
申请号：US18774853
申请日：2024-07-16
Applicant: BetterUp, Inc.
Inventor： Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Rosen Kellerman , Ryan Sonnek
IPC: G10L25/48 , G06N5/04 , G06N20/00 , G06V10/764 , G06V10/774 , G06V40/16 , G06V40/18 , G10L15/04 , G10L15/16 , G10L15/22 , G10L15/24 , G10L25/63
Abstract: Technology is provided for conversation analysis. The technology includes, receiving multiple utterance representations, where each utterance representation represents a portion of a conversation performed by at least two users, and each utterance representation is associated with video data, acoustic data, and text data. The technology further includes generating a first utterance output by applying video data, acoustic data, and text data of the first utterance representation to a respective video processing part of the machine learning system to generate video, text, and acoustic-based outputs. A second utterance output is further generated for a second user. Conversation analysis indicators are generated by applying, to a sequential machine learning system the combined speaker features and a previous state of the sequential machine learning system.
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公开(公告)号：US20240062547A1
公开(公告)日：2024-02-22
申请号：US18499116
申请日：2023-10-31
Applicant: BetterUp, Inc.
Inventor： Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Rosen Kellerman , Ryan Sonnek
Abstract: Technology is provided for generating conversation features for recorded conversations. The technology includes, receiving videos depicting a multiple-user interaction, segmenting the videos into multiple utterances based on identifying utterances from individual users, receiving label data for the utterance segments specifying conversation features, and storing the label data in association with the utterance segments.
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公开(公告)号：US20230005380A1
公开(公告)日：2023-01-05
申请号：US17857972
申请日：2022-07-05
Applicant: BetterUp, Inc.
Inventor： Alexi Robichaux , Eduardo Medina , Ryan Sonnek
Abstract: Some embodiments of a virtual coaching platform can analyze user and coach characteristics to determine suggested coaching partnerships. Some virtual coaching platform embodiments can implement whole-person dimensionalities used to track progress and provide coaching resources and guidance. In some implementations, the virtual coaching platform can provide six whole-person dimensions including: centered, aware, agile, includes, elevates, and drives. Some virtual coaching platform embodiments can select a subset of the dimensionalities to update using determined associations between a user and the dimensionalities. Some virtual coaching platform embodiments can implement a motivational matrix to assess a user in a readiness versus clarity domain and provide coaching suggestions based on a corresponding type.
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公开(公告)号：US20180190135A1
公开(公告)日：2018-07-05
申请号：US15853535
申请日：2017-12-22
Applicant: BetterUp, Inc.
Inventor： Alexi Robichaux , Eduardo Medina , Ryan Sonnek
Abstract: Some embodiments of a virtual coaching platform can analyze user and coach characteristics to determine suggested coaching partnerships. Some virtual coaching platform embodiments can implement whole-person dimensionalities used to track progress and provide coaching resources and guidance. In some implementations, the virtual coaching platform can provide six whole-person dimensions including: centered, aware, agile, includes, elevates, and drives. Some virtual coaching platform embodiments can select a subset of the dimensionalities to update using determined associations between a user and the dimensionalities. Some virtual coaching platform embodiments can implement a motivational matrix to assess a user in a readiness versus clarity domain and provide coaching suggestions based on a corresponding type.
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公开(公告)号：US20220343899A1
公开(公告)日：2022-10-27
申请号：US17811867
申请日：2022-07-11
Applicant: BetterUp, Inc.
Inventor： Andrew Reece , Peter Bull , Gus Cooney , Casey Fitzpatrick , Gabriella Rosen Kellerman , Ryan Sonnek
Abstract: Technology is provided for causing a computing system to extract conversation features from a multiparty conversation (e.g., between a coach and mentee), apply the conversation features to a machine learning system to generate conversation analysis indicators, and apply a mapping of conversation analysis indicators to actions and inferences to determine actions to take or inferences to make for the multiparty conversation. In various implementations, the actions and inferences can include determining scores for the multiparty conversation such as a score for progress toward a coaching goal, instant scores for various points throughout the conversation, conversation impact score, ownership scores, etc. These scores can be, e.g., surfaced in various user interfaces along with context and benchmark indicators, used to select resources for the coach or mentee, used to update coach/mentee matchings, used to provide real-time alerts to signify how the conversation is going, etc.
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