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US Patent 10255907 Automatic accent detection using acoustic models

Patent 10255907 was granted and assigned to Apple (company) on April, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Apple (company)
Apple (company)
0
Current Assignee
Apple (company)
Apple (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
102559070
Patent Inventor Names
Udhyakumar Nallasamy0
Matthew Seigel0
Matthias Paulik0
Sachin S. Kajarekar0
Date of Patent
April 9, 2019
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Patent Application Number
148466500
Date Filed
September 4, 2015
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Patent Citations Received
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US Patent 12062369 Real-time dynamic noise reduction using convolutional networks
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US Patent 10872597 Speech synthesis dictionary delivery device, speech synthesis system, and program storage medium
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US Patent 11600262 Recognition device, method and storage medium
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US Patent 11257002 Dynamic accuracy-based deployment and monitoring of machine learning models in provider networks
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US Patent 11308953 Speech recognition method and electronic device for supporting the same
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US Patent 11783836 Personal electronic captioning based on a participant user's difficulty in understanding a speaker
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US Patent 11977958 Network-accessible machine learning model training and hosting system
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US Patent 11502517 Remote shared content experience systems
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Patent Primary Examiner
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Michael N. Opsasnick
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Patent abstract

Systems and processes for automatic accent detection are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a user input, determining a first similarity between a representation of the user input and a first acoustic model of a plurality of acoustic models, and determining a second similarity between the representation of the user input and a second acoustic model of the plurality of acoustic models. The method further includes determining whether the first similarity is greater than the second similarity. In accordance with a determination that the first similarity is greater than the second similarity, the first acoustic model may be selected; and in accordance with a determination that the first similarity is not greater than the second similarity, the second acoustic model may be selected.

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