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US Patent 11763936 Generating structured text content using speech recognition models

Patent 11763936 was granted and assigned to Google on September, 2023 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11763936
Patent Inventor Names
Navdeep Jaitly
Christopher S. Co
Katherine Irene Chou
Lily Hao Yi Peng
Ananth Sankar
Date of Patent
September 19, 2023
Patent Application Number
17112279
Date Filed
December 4, 2020
Patent Citations
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US Patent 10199124 Methods and apparatus for generating clinical reports
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US Patent 10283110 Methods and apparatuses for automatic speech recognition
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US Patent 10296160 Method for extracting salient dialog usage from live data
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US Patent 10860685 Generating structured text content using speech recognition models
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US Patent 10339937 Automatic decision support
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US Patent 7668718 Synchronized pattern recognition source data processed by manual or automatic means for creation of shared speaker-dependent speech user profile
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US Patent 9190050 Discriminative training of document transcription system
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US Patent 9569593 Methods and apparatus for generating clinical reports
...
Patent Primary Examiner
‌
Vijay B Chawan
CPC Code
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G10L 15/193
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G10L 15/26
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G10L 15/1822
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G10L 15/183
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G10L 15/22
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G10L 15/063
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G10L 15/16
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for speech recognition. One method includes obtaining an input acoustic sequence, the input acoustic sequence representing one or more utterances; processing the input acoustic sequence using a speech recognition model to generate a transcription of the input acoustic sequence, wherein the speech recognition model comprises a domain-specific language model; and providing the generated transcription of the input acoustic sequence as input to a domain-specific predictive model to generate structured text content that is derived from the transcription of the input acoustic sequence.

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