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US Patent 11087739 On-device learning in a hybrid speech processing system

Patent 11087739 was granted and assigned to Amazon on August, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11087739
Patent Inventor Names
Nikko Strom0
Rohit Prasad0
Ariya Rastrow0
Date of Patent
August 10, 2021
Patent Application Number
20181113
Date Filed
November 13, 2018
Patent Citations Received
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US Patent 12079584 Systems and methods for conversation modeling
0
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US Patent 11805068 Selective delaying of provisioning, to assistant device(s), assistant data that is locally utilizable by a corresponding local assistant client
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US Patent 11423225 On-device lightweight natural language understanding (NLU) continual learning
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US Patent 11450310 Spoken language understanding
0
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US Patent 11862175 User identification and authentication
0
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US Patent 11908472 Connected accessory for a voice-controlled device
0
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US Patent 11482223 Systems and methods for automatically determining utterances, entities, and intents based on natural language inputs
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US Patent 11575629 Smart message renderer
...
Patent abstract

A speech interface device is configured to receive response data from a remote speech processing system for responding to user speech. This response data may be enhanced with information such as remote NLU data. The response data from the remote speech processing system may be compared to local NLU data to improve a speech processing model on the device. Thus, the device may perform supervised on-device learning based on the remote NLU data. The device may determine differences between the updated speech processing model and an original speech processing model received from the remote system and may send data indicating these differences to the remote system. The remote system may aggregate data received from a plurality of devices and may generate an improved speech processing model.

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