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US Patent 11893349 Systems and methods for generating locale-specific phonetic spelling variations

Patent 11893349 was granted and assigned to Google on February, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
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Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118933490
Patent Inventor Names
Abhay Sharma0
Nitin Raut0
Manish Kumar0
Abhirut Gupta0
Aravindan Raghuveer0
Date of Patent
February 6, 2024
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Patent Application Number
177164300
Date Filed
April 8, 2022
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Patent Citations
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US Patent 9164983 Broad-coverage normalization system for social media language
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US Patent 9275633 Crowd-sourcing pronunciation corrections in text-to-speech engines
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US Patent 9582489 Orthographic error correction using phonetic transcription
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US Patent 10095683 Contextual speller models on online social networks
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US Patent 10147417 Electronic speech recognition name directory prognostication system by comparing a spoken name's packetized voice to stored phonemes
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US Patent 10255905 Predicting pronunciations with word stress
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US Patent 10403265 Voice recognition apparatus and voice recognition method
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US Patent 10521511 Text conversion and representation system
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Patent Primary Examiner
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Benjamin Smith
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CPC Code
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G10L 2015/025
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G10L 15/187
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G06F 40/232
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Patent abstract

Systems and methods for generating phonetic spelling variations of a given word based on locale-specific pronunciations. A phoneme-letter density model may be configured to identify a phoneme sequence corresponding to an input word, and to identify all character sequences that may correspond to an input phoneme sequence and their respective probabilities. The phoneme-phoneme error model may be configured to identify locale-specific alternative phoneme sequences that may correspond to a given phoneme sequence, and their respective probabilities. Using these two models, a processing system may be configured to generate, for a given input word, a list of alternative character sequences that may correspond to the input word based on locale-specific pronunciations, and/or a probability distribution representing how likely each alternative character sequence is to correspond to the input word.

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