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公开(公告)号：US20230042473A1
公开(公告)日：2023-02-09
申请号：US17961814
申请日：2022-10-07
Applicant: Dropbox, Inc.
Inventor： Timo Mertens , Bradley Neuberg
IPC: G10L15/26 , G06Q10/10 , G10L15/197 , G06F40/166 , G06F40/169 , G10L15/183
Abstract: A collaborative content management system allows multiple users to access and modify collaborative documents. When audio data is recorded by or uploaded to the system, the audio data may be transcribed or summarized to improve accessibility and user efficiency. Text transcriptions are associated with portions of the audio data representative of the text, and users can search the text transcription and access the portions of the audio data corresponding to search queries for playback. An outline can be automatically generated based on a text transcription of audio data and embedded as a modifiable object within a collaborative document. The system associates hot words with actions to modify the collaborative document upon identifying the hot words in the audio data. Collaborative content management systems can also generate custom lexicons for users based on documents associated with the user for use in transcribing audio data, ensuring that text transcription is more accurate.
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2.发明授权公开(公告)号：US11275891B2
公开(公告)日：2022-03-15
申请号：US17114739
申请日：2020-12-08
Applicant: Dropbox, Inc.
Inventor： Timo Mertens , Bradley Neuberg
IPC: G06F40/166 , G06F3/16 , G10L15/22 , G10L15/08 , G10L15/26 , G06F40/137 , G06F40/169
Abstract: A collaborative content management system allows multiple users to access and modify collaborative documents. When audio data is recorded by or uploaded to the system, the audio data may be transcribed or summarized to improve accessibility and user efficiency. Text transcriptions are associated with portions of the audio data representative of the text, and users can search the text transcription and access the portions of the audio data corresponding to search queries for playback. An outline can be automatically generated based on a text transcription of audio data and embedded as a modifiable object within a collaborative document. The system associates hot words with actions to modify the collaborative document upon identifying the hot words in the audio data. Collaborative content management systems can also generate custom lexicons for users based on documents associated with the user for use in transcribing audio data, ensuring that text transcription is more accurate.
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3.发明申请公开(公告)号：US20200050654A1
公开(公告)日：2020-02-13
申请号：US16657185
申请日：2019-10-18
Applicant: Dropbox, Inc.
Inventor： Timo Mertens , Bradley Neuberg
Abstract: A collaborative content management system allows multiple users to access and modify collaborative documents. When audio data is recorded by or uploaded to the system, the audio data may be transcribed or summarized to improve accessibility and user efficiency. Text transcriptions are associated with portions of the audio data representative of the text, and users can search the text transcription and access the portions of the audio data corresponding to search queries for playback. An outline can be automatically generated based on a text transcription of audio data and embedded as a modifiable object within a collaborative document. The system associates hot words with actions to modify the collaborative document upon identifying the hot words in the audio data. Collaborative content management systems can also generate custom lexicons for users based on documents associated with the user for use in transcribing audio data, ensuring that text transcription is more accurate.
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4.发明申请公开(公告)号：US20190266573A1
公开(公告)日：2019-08-29
申请号：US15908312
申请日：2018-02-28
Applicant: Dropbox, Inc.
Inventor： Kavitha Radhakrishnan , Timo Mertens , Neil Sethi , David Stinnette , Justin Hileman , Adam LaFave
Abstract: The present disclosure relates to generating and utilizing digital associations between digital documents and digital calendar events based on determined content connections. For example, one or more embodiments suggest a digital document to a user for association with a digital calendar event based on content connections between the digital document and the digital calendar event. In particular, one or more embodiments determine a content connection based on document characteristics (e.g., document content and access characteristics) and calendar event characteristics (e.g., calendar content and historical meeting information). For example, the system can train a machine learning model to determine content connections based on document characteristics and calendar event characteristics. By associating digital documents with digital calendar events, the system can efficiently manage digital documents for participants, automatically generate new digital documents for calendar events, generate snippets for insertion within digital documents, and generate calendar event summaries and action items.
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公开(公告)号：US20220147948A1
公开(公告)日：2022-05-12
申请号：US17583767
申请日：2022-01-25
Applicant: Dropbox, Inc.
Inventor： Kavitha Radhakrishnan , Timo Mertens , Neil Sethi , David Stinnette , Justin Hileman , Adam LaFave
IPC: G06Q10/10 , H04L9/40 , H04L65/403 , G06N20/00 , G06F16/93
Abstract: The present disclosure relates to generating and utilizing digital associations between digital documents and digital calendar events based on determined content connections. For example, one or more embodiments suggest a digital document to a user for association with a digital calendar event based on content connections between the digital document and the digital calendar event. In particular, one or more embodiments determine a content connection based on document characteristics (e.g., document content and access characteristics) and calendar event characteristics (e.g., calendar content and historical meeting information). For example, the system can train a machine learning model to determine content connections based on document characteristics and calendar event characteristics. By associating digital documents with digital calendar events, the system can efficiently manage digital documents for participants, automatically generate new digital documents for calendar events, generate snippets for insertion within digital documents, and generate calendar event summaries and action items.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20190258704A1
公开(公告)日：2019-08-22
申请号：US15900409
申请日：2018-02-20
Applicant: Dropbox, Inc.
Inventor： Timo Mertens , Bradley Neuberg
Abstract: A collaborative content management system allows multiple users to access and modify collaborative documents. When audio data is recorded by or uploaded to the system, the audio data may be transcribed or summarized to improve accessibility and user efficiency. Text transcriptions are associated with portions of the audio data representative of the text, and users can search the text transcription and access the portions of the audio data corresponding to search queries for playback. An outline can be automatically generated based on a text transcription of audio data and embedded as a modifiable object within a collaborative document. The system associates hot words with actions to modify the collaborative document upon identifying the hot words in the audio data. Collaborative content management systems can also generate custom lexicons for users based on documents associated with the user for use in transcribing audio data, ensuring that text transcription is more accurate.
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公开(公告)号：US20240169991A1
公开(公告)日：2024-05-23
申请号：US18425777
申请日：2024-01-29
Applicant: Dropbox, Inc.
Inventor： Timo Mertens , Bradley Neuberg
IPC: G10L15/26 , G06F40/166 , G06F40/169 , G06Q10/10 , G10L15/183 , G10L15/197
CPC classification number: G10L15/26 , G06F40/166 , G06F40/169 , G06Q10/103 , G10L15/183 , G10L15/197
Abstract: A collaborative content management system allows multiple users to access and modify collaborative documents. When audio data is recorded by or uploaded to the system, the audio data may be transcribed or summarized to improve accessibility and user efficiency. Text transcriptions are associated with portions of the audio data representative of the text, and users can search the text transcription and access the portions of the audio data corresponding to search queries for playback. An outline can be automatically generated based on a text transcription of audio data and embedded as a modifiable object within a collaborative document. The system associates hot words with actions to modify the collaborative document upon identifying the hot words in the audio data. Collaborative content management systems can also generate custom lexicons for users based on documents associated with the user for use in transcribing audio data, ensuring that text transcription is more accurate.
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公开(公告)号：US11238414B2
公开(公告)日：2022-02-01
申请号：US15908312
申请日：2018-02-28
Applicant: Dropbox, Inc.
Inventor： Kavitha Radhakrishnan , Timo Mertens , Neil Sethi , David Stinnette , Justin Hileman , Adam LaFave
Abstract: The present disclosure relates to generating and utilizing digital associations between digital documents and digital calendar events based on determined content connections. For example, one or more embodiments suggest a digital document to a user for association with a digital calendar event based on content connections between the digital document and the digital calendar event. In particular, one or more embodiments determine a content connection based on document characteristics (e.g., document content and access characteristics) and calendar event characteristics (e.g., calendar content and historical meeting information). For example, the system can train a machine learning model to determine content connections based on document characteristics and calendar event characteristics. By associating digital documents with digital calendar events, the system can efficiently manage digital documents for participants, automatically generate new digital documents for calendar events, generate snippets for insertion within digital documents, and generate calendar event summaries and action items.
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9.发明申请公开(公告)号：US20210089709A1
公开(公告)日：2021-03-25
申请号：US17114739
申请日：2020-12-08
Applicant: Dropbox, Inc.
Inventor： Timo Mertens , Bradley Neuberg
IPC: G06F40/166 , G06F3/16 , G10L15/22 , G10L15/08 , G10L15/26 , G06F40/137 , G06F40/169
Abstract: A collaborative content management system allows multiple users to access and modify collaborative documents. When audio data is recorded by or uploaded to the system, the audio data may be transcribed or summarized to improve accessibility and user efficiency. Text transcriptions are associated with portions of the audio data representative of the text, and users can search the text transcription and access the portions of the audio data corresponding to search queries for playback. An outline can be automatically generated based on a text transcription of audio data and embedded as a modifiable object within a collaborative document. The system associates hot words with actions to modify the collaborative document upon identifying the hot words in the audio data. Collaborative content management systems can also generate custom lexicons for users based on documents associated with the user for use in transcribing audio data, ensuring that text transcription is more accurate.
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公开(公告)号：US20190259377A1
公开(公告)日：2019-08-22
申请号：US15900399
申请日：2018-02-20
Applicant: Dropbox, Inc.
Inventor： Timo Mertens , Bradley Neuberg
Abstract: A collaborative content management system allows multiple users to access and modify collaborative documents. When audio data is recorded by or uploaded to the system, the audio data may be transcribed or summarized to improve accessibility and user efficiency. Text transcriptions are associated with portions of the audio data representative of the text, and users can search the text transcription and access the portions of the audio data corresponding to search queries for playback. An outline can be automatically generated based on a text transcription of audio data and embedded as a modifiable object within a collaborative document. The system associates hot words with actions to modify the collaborative document upon identifying the hot words in the audio data. Collaborative content management systems can also generate custom lexicons for users based on documents associated with the user for use in transcribing audio data, ensuring that text transcription is more accurate.
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