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Dialogue enabling speech-to-text user assistive agent system for hearing-impaired person

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dc.contributor.authorLee, Seongjae-
dc.contributor.authorKang, Sunmee-
dc.contributor.authorHan, David K.-
dc.contributor.authorKo, Hanseok-
dc.date.accessioned2021-09-03T23:12:38Z-
dc.date.available2021-09-03T23:12:38Z-
dc.date.created2021-06-18-
dc.date.issued2016-06-
dc.identifier.issn0140-0118-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/88423-
dc.description.abstractA novel approach for assisting bidirectional communication between people of normal hearing and hearing-impaired is presented. While the existing hearing-impaired assistive devices such as hearing aids and cochlear implants are vulnerable in extreme noise conditions or post-surgery side effects, the proposed concept is an alternative approach wherein spoken dialogue is achieved by means of employing a robust speech recognition technique which takes into consideration of noisy environmental factors without any attachment into human body. The proposed system is a portable device with an acoustic beamformer for directional noise reduction and capable of performing speech-to-text transcription function, which adopts a keyword spotting method. It is also equipped with an optimized user interface for hearing-impaired people, rendering intuitive and natural device usage with diverse domain contexts. The relevant experimental results confirm that the proposed interface design is feasible for realizing an effective and efficient intelligent agent for hearing-impaired.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER HEIDELBERG-
dc.subjectRECOGNITION SYSTEM-
dc.subjectENHANCEMENT-
dc.subjectENVIRONMENT-
dc.subjectMODEL-
dc.titleDialogue enabling speech-to-text user assistive agent system for hearing-impaired person-
dc.typeArticle-
dc.contributor.affiliatedAuthorKo, Hanseok-
dc.identifier.doi10.1007/s11517-015-1447-8-
dc.identifier.scopusid2-s2.0-84954193404-
dc.identifier.wosid000376405100007-
dc.identifier.bibliographicCitationMEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, v.54, no.6, pp.915 - 926-
dc.relation.isPartOfMEDICAL & BIOLOGICAL ENGINEERING & COMPUTING-
dc.citation.titleMEDICAL & BIOLOGICAL ENGINEERING & COMPUTING-
dc.citation.volume54-
dc.citation.number6-
dc.citation.startPage915-
dc.citation.endPage926-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalResearchAreaMedical Informatics-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryMedical Informatics-
dc.subject.keywordPlusRECOGNITION SYSTEM-
dc.subject.keywordPlusENHANCEMENT-
dc.subject.keywordPlusENVIRONMENT-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorHearing-impaired person-
dc.subject.keywordAuthorSpeech-to-text transcription-
dc.subject.keywordAuthorBeamforming-
dc.subject.keywordAuthorKeyword spotting-
dc.subject.keywordAuthorUser interface-
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