US Patent 11705130 Spoken notifications
Patent 11705130 was granted and assigned to Apple (company) on July, 2023 by the United States Patent and Trademark Office.
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US Patent 11705130 Spoken notifications
Article
An example method includes, at an electronic device: receiving an indication of a notification; in accordance with receiving the indication of the notification: obtaining one or more data streams from one or more sensors; determining, based on the one or more data streams, whether a user associated with the electronic device is speaking; and in accordance with a determination that the user is not speaking: causing an output associated with the notification to be provided.
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Is a
Patent Applicant
Current Assignee
Patent Jurisdiction
Patent Number
117051300
Date of Patent
July 18, 2023
0Patent Application Number
175253770
Date Filed
November 12, 2021
0Patent Citations
0
US Patent 7949109 System and method of controlling sound in a multi-media communication application
US Patent 8024195 Systems and methods of performing speech recognition using historical information
US Patent 8121837 Adjusting a speech engine for a mobile computing device based on background noise
US Patent 8296383 Electronic devices with voice command and contextual data processing capabilities
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US Patent 8407239 Multi-stage query processing system and method for use with tokenspace repository
US Patent 8543398 Training an automatic speech recognition system using compressed word frequencies
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US Patent 8676904 Electronic devices with voice command and contextual data processing capabilities
US Patent 8713119 Electronic devices with voice command and contextual data processing capabilities
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US Patent 8762469 Electronic devices with voice command and contextual data processing capabilities
US Patent 8880405 Application text entry in a mobile environment using a speech processing facility
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US Patent 9412392 Electronic devices with voice command and contextual data processing capabilities
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US Patent 10255922 Speaker identification using a text-independent model and a text-dependent model
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