Video learning systems for recognize learners' voice commands
The present invention relates to an image learning system for recognizing a learner's voice command and a method thereof. The image learning system according to the present invention comprises: a voice recognition unit recognizing a voice uttered by a learner; a voice-to-text conversion unit se...
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| creator | CHANG HYUNSEOK |
| description | The present invention relates to an image learning system for recognizing a learner's voice command and a method thereof. The image learning system according to the present invention comprises: a voice recognition unit recognizing a voice uttered by a learner; a voice-to-text conversion unit setting a keyword, analyzing the received learner's voice, and converting the learner's voice after the recognized keyword into a text form when recognizing a voice which matches the keyword; a voice command recognition unit analyzing learner's intention from the converted text using a natural language processing (NLP) module and natural language understanding (NLU) and recognizing the learner's voice as a command according to the analyzed result; and a control unit extracting a corresponding native speaker teacher according to the learner's voice command, providing information on the extracted native speaker instructor to a learner terminal, and when a connection request signal for a specific native speaker instructor is received from the learner terminal, connecting the instructor and learner by sending a class request signal to a native speaker instructor terminal. Accordingly, by providing a customized service tailored to characteristics of the learner, learning efficiency of the learner is maximized.
본 발명은 학습자의 음성 명령을 인식하는 화상 학습 시스템 및 그 방법에 대한 것이다. 본 발명에 따른 화상 학습 시스템은 학습자에 의해 발화된 음성을 인식하는 음성 인식부, 키워드를 설정하고, 수신된 학습자의 음성을 분석하여 키워드와의 매칭되는 음성을 인식할 경우에 인식된 키워드 이후의 학습자의 음성을 텍스트 형태로 변환하는 음성-텍스트 변환부, 자연어처리(Natural Language Processing, NLP) 모듈 및 자연 언어 이해 (Natural Language Understanding, NLU)을 이용하여 변환된 텍스트로부터 학습자의 의도를 분석하고, 분석된 결과에 따라 학습자의 음성을 명령으로 인식하는 음성명령인식부, 그리고 상기 학습자의 음성 명령에 따라 대응되는 원어민 강사를 추출하고, 추출된 원어민 강사에 대한 정보를 학습자 단말기에 제공하며, 상기 학습자 단말기로부터 특정 원어민 강사에 대한 연결 요청신호를 수신하면, 원어민 강사 단말기에 수업 요청 신호를 전송하여 강사와 학습자를 연결시키는 제어부를 포함한다. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_KR20220140304A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>KR20220140304A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_KR20220140304A3</originalsourceid><addsrcrecordid>eNrjZLANy0xJzVfISU0sysvMS1coriwuSc0tVkjLL1IoSk3OT8_LrEqFSKcWFasrlOVnJqcqJOfn5ibmpRTzMLCmJeYUp_JCaW4GZTfXEGcP3dSC_PjU4oLE5NS81JJ47yAjAyMjA0MTA2MDE0dj4lQBAPQmMRs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Video learning systems for recognize learners' voice commands</title><source>esp@cenet</source><creator>CHANG HYUNSEOK</creator><creatorcontrib>CHANG HYUNSEOK</creatorcontrib><description>The present invention relates to an image learning system for recognizing a learner's voice command and a method thereof. The image learning system according to the present invention comprises: a voice recognition unit recognizing a voice uttered by a learner; a voice-to-text conversion unit setting a keyword, analyzing the received learner's voice, and converting the learner's voice after the recognized keyword into a text form when recognizing a voice which matches the keyword; a voice command recognition unit analyzing learner's intention from the converted text using a natural language processing (NLP) module and natural language understanding (NLU) and recognizing the learner's voice as a command according to the analyzed result; and a control unit extracting a corresponding native speaker teacher according to the learner's voice command, providing information on the extracted native speaker instructor to a learner terminal, and when a connection request signal for a specific native speaker instructor is received from the learner terminal, connecting the instructor and learner by sending a class request signal to a native speaker instructor terminal. Accordingly, by providing a customized service tailored to characteristics of the learner, learning efficiency of the learner is maximized.
본 발명은 학습자의 음성 명령을 인식하는 화상 학습 시스템 및 그 방법에 대한 것이다. 본 발명에 따른 화상 학습 시스템은 학습자에 의해 발화된 음성을 인식하는 음성 인식부, 키워드를 설정하고, 수신된 학습자의 음성을 분석하여 키워드와의 매칭되는 음성을 인식할 경우에 인식된 키워드 이후의 학습자의 음성을 텍스트 형태로 변환하는 음성-텍스트 변환부, 자연어처리(Natural Language Processing, NLP) 모듈 및 자연 언어 이해 (Natural Language Understanding, NLU)을 이용하여 변환된 텍스트로부터 학습자의 의도를 분석하고, 분석된 결과에 따라 학습자의 음성을 명령으로 인식하는 음성명령인식부, 그리고 상기 학습자의 음성 명령에 따라 대응되는 원어민 강사를 추출하고, 추출된 원어민 강사에 대한 정보를 학습자 단말기에 제공하며, 상기 학습자 단말기로부터 특정 원어민 강사에 대한 연결 요청신호를 수신하면, 원어민 강사 단말기에 수업 요청 신호를 전송하여 강사와 학습자를 연결시키는 제어부를 포함한다.</description><language>eng ; kor</language><subject>ACOUSTICS ; CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221018&DB=EPODOC&CC=KR&NR=20220140304A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221018&DB=EPODOC&CC=KR&NR=20220140304A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHANG HYUNSEOK</creatorcontrib><title>Video learning systems for recognize learners' voice commands</title><description>The present invention relates to an image learning system for recognizing a learner's voice command and a method thereof. The image learning system according to the present invention comprises: a voice recognition unit recognizing a voice uttered by a learner; a voice-to-text conversion unit setting a keyword, analyzing the received learner's voice, and converting the learner's voice after the recognized keyword into a text form when recognizing a voice which matches the keyword; a voice command recognition unit analyzing learner's intention from the converted text using a natural language processing (NLP) module and natural language understanding (NLU) and recognizing the learner's voice as a command according to the analyzed result; and a control unit extracting a corresponding native speaker teacher according to the learner's voice command, providing information on the extracted native speaker instructor to a learner terminal, and when a connection request signal for a specific native speaker instructor is received from the learner terminal, connecting the instructor and learner by sending a class request signal to a native speaker instructor terminal. Accordingly, by providing a customized service tailored to characteristics of the learner, learning efficiency of the learner is maximized.
본 발명은 학습자의 음성 명령을 인식하는 화상 학습 시스템 및 그 방법에 대한 것이다. 본 발명에 따른 화상 학습 시스템은 학습자에 의해 발화된 음성을 인식하는 음성 인식부, 키워드를 설정하고, 수신된 학습자의 음성을 분석하여 키워드와의 매칭되는 음성을 인식할 경우에 인식된 키워드 이후의 학습자의 음성을 텍스트 형태로 변환하는 음성-텍스트 변환부, 자연어처리(Natural Language Processing, NLP) 모듈 및 자연 언어 이해 (Natural Language Understanding, NLU)을 이용하여 변환된 텍스트로부터 학습자의 의도를 분석하고, 분석된 결과에 따라 학습자의 음성을 명령으로 인식하는 음성명령인식부, 그리고 상기 학습자의 음성 명령에 따라 대응되는 원어민 강사를 추출하고, 추출된 원어민 강사에 대한 정보를 학습자 단말기에 제공하며, 상기 학습자 단말기로부터 특정 원어민 강사에 대한 연결 요청신호를 수신하면, 원어민 강사 단말기에 수업 요청 신호를 전송하여 강사와 학습자를 연결시키는 제어부를 포함한다.</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLANy0xJzVfISU0sysvMS1coriwuSc0tVkjLL1IoSk3OT8_LrEqFSKcWFasrlOVnJqcqJOfn5ibmpRTzMLCmJeYUp_JCaW4GZTfXEGcP3dSC_PjU4oLE5NS81JJ47yAjAyMjA0MTA2MDE0dj4lQBAPQmMRs</recordid><startdate>20221018</startdate><enddate>20221018</enddate><creator>CHANG HYUNSEOK</creator><scope>EVB</scope></search><sort><creationdate>20221018</creationdate><title>Video learning systems for recognize learners' voice commands</title><author>CHANG HYUNSEOK</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20220140304A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2022</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>CHANG HYUNSEOK</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHANG HYUNSEOK</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Video learning systems for recognize learners' voice commands</title><date>2022-10-18</date><risdate>2022</risdate><abstract>The present invention relates to an image learning system for recognizing a learner's voice command and a method thereof. The image learning system according to the present invention comprises: a voice recognition unit recognizing a voice uttered by a learner; a voice-to-text conversion unit setting a keyword, analyzing the received learner's voice, and converting the learner's voice after the recognized keyword into a text form when recognizing a voice which matches the keyword; a voice command recognition unit analyzing learner's intention from the converted text using a natural language processing (NLP) module and natural language understanding (NLU) and recognizing the learner's voice as a command according to the analyzed result; and a control unit extracting a corresponding native speaker teacher according to the learner's voice command, providing information on the extracted native speaker instructor to a learner terminal, and when a connection request signal for a specific native speaker instructor is received from the learner terminal, connecting the instructor and learner by sending a class request signal to a native speaker instructor terminal. Accordingly, by providing a customized service tailored to characteristics of the learner, learning efficiency of the learner is maximized.
본 발명은 학습자의 음성 명령을 인식하는 화상 학습 시스템 및 그 방법에 대한 것이다. 본 발명에 따른 화상 학습 시스템은 학습자에 의해 발화된 음성을 인식하는 음성 인식부, 키워드를 설정하고, 수신된 학습자의 음성을 분석하여 키워드와의 매칭되는 음성을 인식할 경우에 인식된 키워드 이후의 학습자의 음성을 텍스트 형태로 변환하는 음성-텍스트 변환부, 자연어처리(Natural Language Processing, NLP) 모듈 및 자연 언어 이해 (Natural Language Understanding, NLU)을 이용하여 변환된 텍스트로부터 학습자의 의도를 분석하고, 분석된 결과에 따라 학습자의 음성을 명령으로 인식하는 음성명령인식부, 그리고 상기 학습자의 음성 명령에 따라 대응되는 원어민 강사를 추출하고, 추출된 원어민 강사에 대한 정보를 학습자 단말기에 제공하며, 상기 학습자 단말기로부터 특정 원어민 강사에 대한 연결 요청신호를 수신하면, 원어민 강사 단말기에 수업 요청 신호를 전송하여 강사와 학습자를 연결시키는 제어부를 포함한다.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ACOUSTICS CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Video learning systems for recognize learners' voice commands |
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