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1. WO2020204367 - METHOD AND SYSTEM FOR SEMANTIC INTELLIGENT TASK LEARNING AND ADAPTIVE EXECUTION

Publication Number WO/2020/204367
Publication Date 08.10.2020
International Application No. PCT/KR2020/003040
International Filing Date 04.03.2020
IPC
G06F 9/451 2018.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
44Arrangements for executing specific programs
451Execution arrangements for user interfaces
G06F 3/16 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
3Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
16Sound input; Sound output
G06F 9/448 2018.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
44Arrangements for executing specific programs
448Execution paradigms, e.g. implementations of programming paradigms
G10L 15/22 2006.01
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
22Procedures used during a speech recognition process, e.g. man-machine dialog
CPC
G06F 16/9024
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
901Indexing; Data structures therefor; Storage structures
9024Graphs; Linked lists
G10L 15/063
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
063Training
G10L 15/30
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
28Constructional details of speech recognition systems
30Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
G10L 2015/0638
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
063Training
0638Interactive procedures
Applicants
  • SAMSUNG ELECTRONICS CO., LTD. [KR]/[KR]
Inventors
  • JIN, Hongxia
  • NAMA, Sandeep
Agents
  • YOON & LEE INTERNATIONAL PATENT & LAW FIRM
Priority Data
16/370,49729.03.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) METHOD AND SYSTEM FOR SEMANTIC INTELLIGENT TASK LEARNING AND ADAPTIVE EXECUTION
(FR) PROCÉDÉ ET SYSTÈME D'APPRENTISSAGE DE TÂCHE INTELLIGENT SÉMANTIQUE ET D'EXÉCUTION ADAPTATIVE
Abstract
(EN)
A method includes receiving, at an electronic device, a command directed to a first application operated by the electronic device. Features presented by the first application in response to interactions with the first application are captured at the electronic device. Data communicated with the first application via the interactions with the first application are captured at the electronic device. A task is learned based on the captured features and communicated data.
(FR)
L'invention concerne un procédé comprenant la réception, au niveau d'un dispositif électronique, d'une commande dirigée vers une première application actionnée par le dispositif électronique. Des caractéristiques présentées par la première application en réponse à des interactions avec la première application sont capturées au niveau du dispositif électronique. Des données communiquées à la première application par l'intermédiaire des interactions avec la première application sont capturées au niveau du dispositif électronique. Une tâche est apprise en fonction des caractéristiques capturées et des données communiquées.
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