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US Patent 10592604 Inverse text normalization for automatic speech recognition

Patent 10592604 was granted and assigned to Apple (company) on March, 2020 by the United States Patent and Trademark Office.

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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
10592604
Date of Patent
March 17, 2020
Patent Application Number
16024425
Date Filed
June 29, 2018
Patent Citations
‌
US Patent 10049663 Intelligent automated assistant for media exploration
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US Patent 10037758 Device and method for understanding user intent
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US Patent 10096319 Voice-based determination of physical and emotional characteristics of users
Patent Citations Received
‌
US Patent 10740555 Deep learning approach to grammatical correction for incomplete parses
‌
US Patent 10720150 Augmented intent and entity extraction using pattern recognition interstitial regular expressions
Patent Primary Examiner
‌
Abul K. Azad
Patent abstract

Techniques for inverse text normalization are provided. In some examples, speech input is received and a spoken-form text representation of the speech input is generated. The spoken-form text representation includes a token sequence. A feature representation is determined for the spoken-form text representation and a sequence of labels is determined based on the feature representation. The sequence of labels is assigned to the token sequence and specifies a plurality of edit operations to perform on the token sequence. Each edit operation of the plurality of edit operations corresponds to one of a plurality of predetermined types of edit operations. A written-form text representation of the speech input is generated by applying the plurality of edit operations to the token sequence in accordance with the sequence of labels. A task responsive to the speech input is performed using the generated written-form text representation.

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