WO2022035125A1 - Système et procédé d'apprentissage de langue étrangère utilisant un dispositif d'apprentissage à reconnaissance vocale ia - Google Patents

Système et procédé d'apprentissage de langue étrangère utilisant un dispositif d'apprentissage à reconnaissance vocale ia Download PDF

Info

Publication number
WO2022035125A1
WO2022035125A1 PCT/KR2021/010322 KR2021010322W WO2022035125A1 WO 2022035125 A1 WO2022035125 A1 WO 2022035125A1 KR 2021010322 W KR2021010322 W KR 2021010322W WO 2022035125 A1 WO2022035125 A1 WO 2022035125A1
Authority
WO
WIPO (PCT)
Prior art keywords
foreign language
user
speech recognition
recognition learner
learning
Prior art date
Application number
PCT/KR2021/010322
Other languages
English (en)
Korean (ko)
Inventor
유한철
손성우
최광윤
양회백
심규원
이선희
Original Assignee
(주)인포마크
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by (주)인포마크 filed Critical (주)인포마크
Publication of WO2022035125A1 publication Critical patent/WO2022035125A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/06—Foreign languages
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
    • G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/16—Speech classification or search using artificial neural networks
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue

Definitions

  • the present invention relates to a foreign language learning system and method, and more particularly, to a foreign language learning system and method using an AI speech recognition learner.
  • An artificial intelligence speaker performs various functions such as an AI assistant function, a foreign language learning function, and the provision of simple information.
  • An object of the present invention is to provide a foreign language learning system using an AI speech recognition learner.
  • Another object of the present invention is to provide a foreign language learning method using an AI voice recognition learner.
  • a foreign language learning system using the AI speech recognition learner includes: an AI speech recognition learner for performing an AI foreign language conversation with a user to learn a foreign language of the user; It may be configured to include an AI speech recognition learner control device for controlling the AI foreign language conversation of the AI speech recognition learner.
  • the AI speech recognition learner control device may be configured to first attempt an AI foreign language conversation to the user through the AI speech recognition learner.
  • the AI voice recognition learner control device may be configured to provide an AI foreign language curriculum for the user's foreign language learning.
  • AI speech recognition learner control device may be configured to provide a foreign language mimicking function for the user's foreign language learning.
  • the AI voice recognition learner control device may be configured to provide feedback according to a result of performing the foreign language mimicking function.
  • the AI voice recognition learner control device may be configured to store a learning history for each user.
  • a foreign language learning method using an AI speech recognition learner includes the steps of: controlling, by an AI speech recognition learner control device, an AI foreign language conversation of the AI speech recognition learner;
  • the AI voice recognition learner may be configured to include performing an AI foreign language conversation with the user to learn the user's foreign language under the control of the AI voice recognition learner control device.
  • the step of the AI voice recognition learner controlling device controlling the AI foreign language conversation of the AI voice recognition learner may be configured to first try the AI foreign language conversation with the user through the AI voice recognition learner.
  • step of controlling the AI foreign language conversation of the AI speech recognition learner by the AI voice recognition learner control device may be configured to provide an AI foreign language curriculum for the user's foreign language learning.
  • the step of controlling, by the AI speech recognition learner control device, the AI foreign language conversation of the AI speech recognition learner may be configured to provide a foreign language mimicking function for the user's foreign language learning.
  • step of the AI voice recognition learner controlling device controlling the AI foreign language conversation of the AI voice recognition learner may be configured to provide feedback according to the execution result of the foreign language mimicking function.
  • the step of the AI voice recognition learner controlling device controlling the AI foreign language conversation of the AI speech recognition learner may be configured to store a learning history for each user.
  • FIG. 1 is a block diagram of a foreign language learning system using an AI voice recognition learner according to an embodiment of the present invention.
  • FIG. 2 is a schematic diagram illustrating a process of an AI foreign language conversation attempt according to an embodiment of the present invention.
  • FIG. 3 is a table showing user recognition conditions according to an embodiment of the present invention.
  • FIG. 4 is an exemplary diagram of a daily schedule according to an embodiment of the present invention.
  • FIG. 5 is a flowchart of AI foreign language curriculum presentation according to an embodiment of the present invention.
  • FIG. 6 is a flowchart of a foreign language learning method using an AI voice recognition learner according to an embodiment of the present invention.
  • first, second, A, and B may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.
  • FIG. 1 is a block diagram of a foreign language learning system using an AI voice recognition learner according to an embodiment of the present invention.
  • Fig. 2 is a schematic diagram showing a process of an AI foreign language conversation attempt according to an embodiment of the present invention
  • Fig. 3 is a table showing user recognition conditions according to an embodiment of the present invention
  • Fig. 4 is an embodiment of the present invention It is an exemplary diagram of a daily schedule according to an example
  • FIG. 1 is a flowchart of AI foreign language curriculum presentation according to an embodiment of the present invention.
  • a foreign language learning system 100 using an AI voice recognition learner includes an AI voice recognition learner 100 , an AI voice recognition learner control device 200 , and a user terminal 300 . , may be configured to include a guardian terminal (400).
  • the AI speech recognition learner 100 may be configured to perform an AI foreign language conversation with the user for the user's foreign language learning.
  • the AI speech recognition learner 100 may be configured so that the user responds in a foreign language by first attempting an AI foreign language conversation in order to learn a foreign language with the user.
  • AI voice recognition learner 100 includes user proximity sensor 101, user recognition module 102, AI voice recognition learner communication module 103, speaker module 104, microphone 105, touch screen module 106, It may be configured to include a speech bubble display control module 107 and a camera module 108 .
  • the user proximity sensor 101 may be configured to detect a user's proximity.
  • the user proximity sensor 101 may be detected through an infrared sensor or may be detected through Bluetooth automatic connection. There is no limit to the means for detecting user proximity.
  • the user recognition module 102 may be configured to recognize a user detected by the user proximity sensor 101 .
  • the user recognition module 102 may recognize the user through face detection of the user or may recognize the user through the ID of the user automatically connected to Bluetooth. That is, even if someone is close, it may be the user's parent or another family member, not the user, so it is necessary to detect whether the adjacent person is a user of the AI voice recognition learner 100 .
  • a simpler way is to recognize the user through a simple AI foreign language greeting conversation with the user.
  • the user can be recognized through the user's voice recognition.
  • the AI speech recognition learner communication module 103 may be configured to communicate with the AI speech recognition learner control device communication module 201 .
  • the speaker module 104 may be configured to output an AI foreign language voice received through the AI voice recognition learner communication module 103 under the control of the AI voice recognition learner control device communication module 201 .
  • the microphone 105 may be configured to receive a user voice of a user.
  • the touch screen module 106 may be configured to display a user voice input through the microphone 105 and an AI foreign language voice output through the speaker module 104 .
  • the touch screen module 106 may provide a user interface for a menu or function function for a foreign language curriculum to be provided to the user.
  • the speech bubble display control module 107 may be configured to control to display the speech bubble by distinguishing the user voice and the AI foreign language voice output on the touch screen module 106 .
  • the camera module 108 may be configured to recognize the user or photograph the user for a video conversation of the user.
  • the user can be recognized by detecting the user's face. And it may be used when the user has a video conversation with another native speaker friend who uses the AI voice recognition learner 100 .
  • the AI speech recognition learner control device 200 may be configured to control functions such as AI foreign language conversation and AI foreign language curriculum, foreign language mimicking, AI Internet search, native speaker friend conversation of the AI speech recognition learner 100. .
  • AI speech recognition learner control device 200 AI speech recognition learner control device communication module 201, user information storage module 202, user confirmation module 203, daily schedule storage module 204 for each user, user status check Module 205, AI foreign language conversation algorithm storage module 206, AI foreign language conversation execution module 207, AI foreign language curriculum storage module 208, user-specific learning history storage module 209, foreign language curriculum learning control module 210 ), user learning history providing module 211, user learning analysis module 212, user learning analysis result providing module 213, user command AI recognition module 214, user command AI execution module 215, AI Internet search module 216 , a native speaker friend search/correspond module 217 , and a native speaker friend conversation module 218 .
  • the AI speech recognition learner control device communication module 201 may be configured to communicate with the AI speech recognition learner 100 .
  • the user information storage module 202 may be configured to store user information in advance for each user.
  • the user's name, age, gender, mother tongue, face, mobile phone number, guardian information, guardian's mobile phone number, etc. may be stored, and a foreign language currently being studied, foreign language level, etc. may be stored.
  • the user recognition module 203 may be configured to recognize a user through the user recognition module 203 using user information stored in the user information storage module 202 .
  • 3 exemplifies the recognition condition of the user of the AI speech recognition learner 100, and shows a simple AI foreign language conversation through this.
  • the daily schedule for each user storage module 204 may be configured to store the daily schedule for each user in advance.
  • a daily schedule for each user may be created and stored through the user terminal 300 or the guardian terminal 400 . 4 illustrates a daily schedule.
  • the user status check module 205 may be configured to check the current status or the current routine of the user confirmed in the user check module 203 with reference to the daily schedule for each user stored in advance in the daily schedule storage module 204 for each user. . It is possible to know whether the user is currently sleeping, in kindergarten or school, or doing homework by referring to the daily schedule, and through the user recognition module 102, a simple AI foreign language conversation is made to the user to understand what the user is currently doing. You can also check or know your current status by asking if you want to.
  • the AI foreign language conversation algorithm storage module 206 may be configured to pre-store an algorithm for performing an AI foreign language conversation for each foreign language.
  • the foreign language conversation algorithm may be applied differently according to the user's foreign language level.
  • the AI foreign language conversation performing module 207 may be configured to perform an AI foreign language conversation with the user with reference to the algorithm stored in the AI foreign language conversation algorithm storage module 206 .
  • 2 illustrates a simple process for AI foreign language conversation. Referring to FIG. 2 , when the user is recognized, speaking is exemplified to suggest learning of a foreign language curriculum according to the current learning situation. And it waits for a response from the user for about 8 seconds.
  • the AI foreign language curriculum storage module 208 may be configured to pre-store the AI foreign language curriculum for each foreign language.
  • the AI foreign language curriculum is stored for each foreign language level, and a curriculum may be suggested according to the user's foreign language level.
  • the user-specific learning history storage module 209 may be configured to accumulate and store user learning histories of the AI foreign language curriculum for each user.
  • the foreign language curriculum learning control module 210 refers to the user learning history accumulated and stored in the learning history storage module 209 for each user, and the learning of the AI foreign language curriculum stored in the AI foreign language curriculum storage module 210 for the corresponding user is performed by the AI foreign language. It may be configured to control through the dialog performing module 207 . As shown in FIG. 2 above, a curriculum to be currently learned may be suggested according to the user's learning history. This is frequently presented through AI foreign language dialogue, and by referring to the user's daily schedule, the AI foreign language curriculum can be suggested according to the learning time or current status. Curriculum can be proposed according to the algorithm of FIG. 5
  • the user learning history providing module 211 may be configured to provide the user learning history accumulated and stored in the learning history storage module 209 for each user to the guardian terminal 400 of the corresponding guardian.
  • the guardian can know the learning progress of the user through this.
  • the user learning analysis module 212 may be configured to analyze the user learning history stored in the learning history storage module 209 for each user.
  • the foreign language curriculum learning control module 210 may provide a simple test for the curriculum, and the user's foreign language level may be known through the learning analysis result such as the test of the user learning analysis result providing module 213 .
  • the user learning analysis result providing module 213 may be configured to provide the user learning analysis result analyzed by the user learning analysis module 212 to the guardian terminal 400 of the corresponding guardian.
  • the guardian may know the foreign language level of the user.
  • the user command AI recognition module 215 may be configured to recognize a user command in the AI foreign language conversation performed by the AI foreign language conversation performing module 207 .
  • the user command may be a command for a specific AI foreign language curriculum, foreign language following, AI internet search, native speaker friend search, native speaker friend conversation, execution of a response to a conversation attempt made by a native speaker friend, and the like.
  • the foreign language following control module 214 may be configured to control repeated learning of the AI foreign language curriculum stored in the AI foreign language curriculum storage module 208 with reference to the user learning history of the learning history storage module 209 for each user. Through the AI foreign language conversation performing module 207 , the repeated learning may be recommended to the user from time to time at an appropriate timing.
  • the user command AI execution module 216 may be configured to execute the user command recognized by the user command AI recognition module 215 . It can be executed by passing the user command to the corresponding module.
  • the AI Internet search module 217 may be configured to perform an Internet search according to the execution of the user instruction of the user instruction AI execution module 216 and provide the search result to the AI speech recognition learner 100 . It can provide simple Internet search results. For example, various Internet search results such as weather in a specific area, phone number, and driving time to a specific destination may be provided.
  • the native speaker friend search/response module 218 searches for a native speaker friend according to the execution of the user command of the user command AI execution module 216 and provides the search result to the AI voice recognition learner 100 or a conversation of a native speaker friend with the user may be configured to provide the request to the AI speech recognition learner 100 .
  • the native speaker friend means a user from another country using the AI speech recognition learner 100 .
  • a native speaker friend may be a case in which the user's native language is a foreign language being studied. For example, when the user A is learning English, the American user B who is learning Chinese or French through the AI speech recognition learner 100 may become a native speaker friend of the user A. In this case, the user A may request a video conversation from the American user B in English to practice English conversation.
  • the American user (B) may request a Chinese video conversation from the Chinese user (C) to practice Chinese conversation.
  • the user (A) learning English and the American user (D) learning Korean may mutually practice foreign languages through video conversations.
  • the native speaker friend search/correspondence module 218 may search for and provide a native speaker friend by referring to the foreign language level of the user or the native speaker friend stored in the user information storage module 202, their age, gender, and the like. It can be provided by referring to a similar age group or gender.
  • the native speaker friend conversation module 219 may be configured to perform a foreign language conversation between the user's AI voice recognition learner 100 and the native speaker friend's AI voice recognition learner 100 according to a user's selection.
  • the user terminal 300 may be configured to receive a user's daily schedule and upload it to the AI voice recognition learner control device 200 or other inquiry.
  • the guardian terminal 400 may receive the user's daily schedule and upload it to the AI voice recognition learner control device 200 or search the user's learning history and the user's foreign language level.
  • the feedback function provided after imitating a foreign language of the present invention corresponds to the implementation of error correction above (b), and the foreign language learning system itself using the AI speech recognition learner corresponds to (e) an educational assistance method and tool.
  • the foreign language learning system using the AI voice recognition learner of the present invention requires accurate pronunciation of the user, so it supports to naturally improve the user's pronunciation, and provides context in a sentence rather than simply learning individual words. Supports word learning.
  • FIG. 6 is a flowchart of a foreign language learning method using an AI voice recognition learner according to an embodiment of the present invention.
  • the AI voice recognition learner control device 200 controls the AI foreign language conversation of the AI voice recognition learner 100 ( S101 ).
  • the AI speech recognition learner control device 200 may be configured to first attempt an AI foreign language conversation to the user through the AI speech recognition learner 100 .
  • AI voice recognition learner control device 200 may be configured to provide an AI foreign language curriculum for the user's foreign language learning.
  • AI voice recognition learner control device 200 may be configured to provide a foreign language mimicking function for the user to learn a foreign language.
  • the AI voice recognition learner control apparatus 200 may be configured to provide feedback according to the execution result of the foreign language mimicking function.
  • the AI voice recognition learner control apparatus 200 may be configured to store a learning history for each user.
  • the AI speech recognition learner 100 performs an AI foreign language conversation with the user to learn the user's foreign language ( S102 ).

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Educational Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Tourism & Hospitality (AREA)
  • Acoustics & Sound (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

L'invention concerne un système et un procédé d'apprentissage de langue étrangère en utilisant un dispositif d'apprentissage à reconnaissance vocale IA. Le système d'apprentissage de langue étrangère comprend: un dispositif d'apprentissage par reconnaissance vocale IA qui effectue, pour un utilisateur qui apprend une langue étrangère, une conversation en langue étrangère IA avec l'utilisateur; et un appareil de commande de dispositif d'apprentissage par reconnaissance vocale IA qui commande la conversation en langue étrangère IA du dispositif d'apprentissage par reconnaissance vocale IA. Selon le système et le procédé d'apprentissage de langue étrangère utilisant un dispositif d'apprentissage par reconnaissance vocale IA, on observe un effet permettant à l'utilisateur de tenter de façon constante une conversation en langue étrangère IA par l'intermédiaire du dispositif d'apprentissage par reconnaissance vocale IA, de telle sorte que l'utilisateur peut s'entraîner constamment dans une langue étrangère dans un environnement vivant.
PCT/KR2021/010322 2020-08-13 2021-08-05 Système et procédé d'apprentissage de langue étrangère utilisant un dispositif d'apprentissage à reconnaissance vocale ia WO2022035125A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020200101794A KR20220021221A (ko) 2020-08-13 2020-08-13 Ai 음성 인식 학습기를 이용한 외국어 학습 시스템 및 방법
KR10-2020-0101794 2020-08-13

Publications (1)

Publication Number Publication Date
WO2022035125A1 true WO2022035125A1 (fr) 2022-02-17

Family

ID=80247154

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2021/010322 WO2022035125A1 (fr) 2020-08-13 2021-08-05 Système et procédé d'apprentissage de langue étrangère utilisant un dispositif d'apprentissage à reconnaissance vocale ia

Country Status (2)

Country Link
KR (1) KR20220021221A (fr)
WO (1) WO2022035125A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100136192A (ko) * 2009-06-18 2010-12-28 포항공과대학교 산학협력단 외국어 회화 연습 방법 및 장치와 이것의 빠른 개발과 검증을 돕는 학습자 시뮬레이션 방법과 장치
KR20110068490A (ko) * 2009-12-16 2011-06-22 포항공과대학교 산학협력단 외국어 학습 장치 및 그 제공 방법
KR20160115041A (ko) * 2015-03-25 2016-10-06 한국전자통신연구원 음성인식 기반의 발음 학습 장치 및 학습 방법
WO2019096935A1 (fr) * 2017-11-16 2019-05-23 Softbank Robotics Europe Système et procédé de gestion de session de dialogue
KR20200067421A (ko) * 2018-12-04 2020-06-12 삼성전자주식회사 데이터를 학습하여 사용자를 식별하는 사용자 예측 모델을 생성하는 방법, 상기 모델을 적용한 전자 장치, 및 상기 모델을 적용하는 방법

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20200025937A (ko) 2018-08-31 2020-03-10 정웅모 인공지능 스피커를 이용한 영어학습방법
KR20190094087A (ko) 2018-11-22 2019-08-12 주식회사 머니브레인 머신러닝 기반의 대화형 ai 에이전트 시스템과 연관된, 사용자 맞춤형 학습 모델을 포함하는 사용자 단말 및 사용자 맞춤형 학습 모델이 기록된 컴퓨터 판독가능 기록 매체

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100136192A (ko) * 2009-06-18 2010-12-28 포항공과대학교 산학협력단 외국어 회화 연습 방법 및 장치와 이것의 빠른 개발과 검증을 돕는 학습자 시뮬레이션 방법과 장치
KR20110068490A (ko) * 2009-12-16 2011-06-22 포항공과대학교 산학협력단 외국어 학습 장치 및 그 제공 방법
KR20160115041A (ko) * 2015-03-25 2016-10-06 한국전자통신연구원 음성인식 기반의 발음 학습 장치 및 학습 방법
WO2019096935A1 (fr) * 2017-11-16 2019-05-23 Softbank Robotics Europe Système et procédé de gestion de session de dialogue
KR20200067421A (ko) * 2018-12-04 2020-06-12 삼성전자주식회사 데이터를 학습하여 사용자를 식별하는 사용자 예측 모델을 생성하는 방법, 상기 모델을 적용한 전자 장치, 및 상기 모델을 적용하는 방법

Also Published As

Publication number Publication date
KR20220021221A (ko) 2022-02-22

Similar Documents

Publication Publication Date Title
WO2013085320A1 (fr) Procédé permettant de fournir un service d'acquisition et d'étude d'une langue étrangère d'après une reconnaissance de contexte au moyen d'un dispositif intelligent
WO2018151464A1 (fr) Système de codage et procédé de codage utilisant la reconnaissance vocale
WO2011074771A2 (fr) Appareil et procédé permettant l'étude d'une langue étrangère
WO2009157733A1 (fr) Système d’apprentissage interactif utilisant un robot et son procédé de fonctionnement pour l’éducation des enfants
CN102262820A (zh) 一种交互式外语学习方法
CN107832742A (zh) 应用于机器人的监督方法和机器人
WO2018169276A1 (fr) Procédé pour le traitement d'informations de langue et dispositif électronique associé
WO2009119991A4 (fr) Procédé et système d'apprentissage des langues fondés sur l'analyse des sons sur l'internet
WO2022035125A1 (fr) Système et procédé d'apprentissage de langue étrangère utilisant un dispositif d'apprentissage à reconnaissance vocale ia
CN111078010B (zh) 一种人机交互方法、装置、终端设备及可读存储介质
WO2019139248A1 (fr) Procédé de gestion de leçon pour apprendre à parler une langue sur réseau et serveur de gestion utilisé à cette fin
Al-Baekani et al. Integrated of mobile phone as interactive media in extensive listening
CN110349454A (zh) 一种大学英语教学口语教学师生互动教学终端
WO2010079927A2 (fr) Dispositif d'apprentissage de langue et procédé associé
WO2022203123A1 (fr) Procédé et dispositif de fourniture d'un contenu d'enseignement vidéo sur la base d'un traitement de langage naturel par l'intelligence artificielle au moyen d'un personnage
WO2013151286A1 (fr) Système ayant une fonction de bloc-notes électronique, et son procédé de fonctionnement
WO2011162508A2 (fr) Procédé et dispositif d'apprentissage de la prononciation au moyen d'images de comparaison
WO2011129665A2 (fr) Appareil d'apprentissage de langue utilisant la vidéo, et son procédé de commande
WO2019139261A1 (fr) Système d'acquisition de langue
WO2018164303A1 (fr) Dispositif de fourniture de contenu d'apprentissage utilisant un principe binaire, et procédé associé
WO2018034484A1 (fr) Système d'apprentissage de prononciation pouvant être corrigé par un expert
WO2024053967A1 (fr) Système de communication basé sur un affichage
WO2013089356A1 (fr) Matériel pédagogique pour apprentissage de l'anglais et support d'enregistrement ayant un matériel pédagogique pour apprentissage de l'anglais enregistré sur celui-ci
WO2019074136A1 (fr) Dispositif et procédé d'auto-apprentissage en ligne basés sur l'intelligence artificielle
KR100466832B1 (ko) 무의식적 외국어 노출방식을 구비한 외국어 학습시스템 및방법

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21856131

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21856131

Country of ref document: EP

Kind code of ref document: A1