SPATIAL AND TEMPORAL SEQUENCE-TO-SEQUENCE MODELING FOR HANDWRITING RECOGNITION

Patent №

US 11,270,104

Granted

2022-03-08

Filed 2020

Owner

APPLE INC.

Lab

AI components

4

nlp · vision · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16741384

An example process for recognizing handwritten input includes obtaining input data representing handwritten input, where the handwritten input is associated with a first dimension and a second dimension relative to the handwritten input; sampling the input data to obtain a plurality of coordinates representing the handwritten input; determining, based on the plurality of coordinates, a sequence of vectors representing a respective plurality of portions of the handwritten input, where: each portion of the respective plurality of portions is associated with a respective height and width corresponding respectively to the first and second dimensions, the respective height being greater than the respective width; and consecutive vectors of the sequence of vectors represent respective consecutive portions of the handwritten input; generating, using a handwriting recognition model, based on the sequence of vectors, one or more characters for the handwritten input; and causing the one or more characters to be displayed.

Natural languageVisionSpeechAI hardwareG06F 3/04883G06F 18/2411G06V 10/82G06V 30/347G06V 30/36

AI classification

Natural language1.00
AI hardware1.00
Vision1.00
Speech0.99
Machine learning0.49
Knowledge representation0.02
Evolutionary computation0.01
Planning0.00

Ownership

APPLE INC.

assignment · 525760107

Assignors

HOWELL, DOMINIC L., BELLEGARDA, JEROME R.

On an employer assignment, the assignors are typically the inventors.

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