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US Patent 10593346 Rank-reduced token representation for automatic speech recognition

Patent 10593346 was granted and assigned to Apple (company) on March, 2020 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Apple (company)
Apple (company)
Current Assignee
Apple (company)
Apple (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10593346
Patent Inventor Names
Christophe J. Van Gysel0
Xiaochuan Niu0
Ilya Oparin0
Yi Su0
Date of Patent
March 17, 2020
Patent Application Number
15459481
Date Filed
March 15, 2017
Patent Citations Received
‌
US Patent 12062369 Real-time dynamic noise reduction using convolutional networks
0
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US Patent 11568423 Multi-dimensional product information analysis, management, and application systems and methods
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US Patent 10872204 Generating natural language recommendations based on an industrial language model
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US Patent 10956683 Systems and method for vocabulary management in a natural learning framework
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US Patent 11037546 Nudging neural conversational model with domain knowledge
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US Patent 11270693 Speech information processing method, device and storage medium
‌
US Patent 11681877 Systems and method for vocabulary management in a natural learning framework
0
Patent Primary Examiner
‌
Jonathan C Kim
Patent abstract

The present disclosure generally relates to processing speech or text using rank-reduced token representation. In one example process, speech input is received. A sequence of candidate words corresponding to the speech input is determined. The sequence of candidate words includes a current word and one or more previous words. A vector representation of the current word is determined from a set of trained parameters. A number of parameters in the set of trained parameters varies as a function of one or more linguistic characteristics of the current word. Using the vector representation of the current word, a probability of a next word given the current word and the one or more previous words is determined. A text representation of the speech input is displayed based on the determined probability.

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