Generating customized meeting insights based on user interactions and meeting media

    公开(公告)号:US11689379B2

    公开(公告)日:2023-06-27

    申请号:US16587408

    申请日:2019-09-30

    Applicant: Dropbox, Inc.

    Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating meeting insights based on media data and device input data. For example, in one or more embodiments, the disclosed system utilizes analyzes media data including audio data or video data and inputs to client devices associated with a meeting to determine a portion of the meeting (e.g., a portion of the media data) that is relevant for a user. In response to determining a relevant portion of the meeting, the system generates an electronic message including content related to the relevant portion of the meeting. The system then provides the electronic message to a client device of the user. For instance, in one or more embodiments, the system generates a meeting summary, meeting highlights, or action items related to the media data to provide to the client device of the user. In one or more embodiments, the system also uses the summary, highlights, or action items to train a machine-learning model for use with future meetings.

    Author Sharing and Recipient Creation Of Copied Collaborative Content Items

    公开(公告)号:US20180335935A1

    公开(公告)日:2018-11-22

    申请号:US15601965

    申请日:2017-05-22

    Applicant: Dropbox, Inc.

    Abstract: A collaborative content management system allows users to create, edit, and share collaborative content items among a plurality of other users. The system enables a collaboration event between author client devices and recipient client devices. During a collaboration event, a collaborative content item is created by an author. The collaborative content item is converted into a model collaborative content item and stored in the collaborative content management system. Access to the model collaborative content item is shared with recipient client devices. A derivative copy of the collaborative content item is generated based on the model collaborative content item, for instance in response to a request from a user of a recipient client device. The created derivative collaborative content items are editable by users corresponding to the derivative collaborative content item such that edits made to a first derivative collaborative content item are not accessible to other derivative collaborative content items.

    GENERATING IMPROVED DIGITAL TRANSCRIPTS UTILIZING DIGITAL TRANSCRIPTION MODELS THAT ANALYZE DYNAMIC MEETING CONTEXTS

    公开(公告)号:US20250070994A1

    公开(公告)日:2025-02-27

    申请号:US18941541

    申请日:2024-11-08

    Applicant: Dropbox, Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for improving digital transcripts of a meeting based on user information. For example, a digital transcription system creates a digital transcription model to automatically transcribe audio from a meeting based on documents associated with meeting participants, event details, user features, and other meeting context data. In one or more embodiments, the digital transcription model creates a digital lexicon based on the user information, which the digital transcription system uses to generate the digital transcript. In some embodiments, the digital transcription model trains and utilizes a digital transcription neural network to generate the digital transcript.

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