동영상 기반 자동 발화 심층 분석(SUDA) 어플리케이션 개발
Development of the video-based smart utterance deep analyser (SUDA) application
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This study aims to develop a video-based smart utterance deep analyser (SUDA) application that analyzes semi- automatically the utterances that child and mother produce during interactions over time. SUDA runs on the platform of Android, iPhones, and tablet PCs, and allows video recording and uploading to server. In this device, user modes are divided into three modes: expert mode, general mode and manager mode. In the expert mode which is useful for speech and language evaluation, the subject's utterances are analyzed semi-automatically by measuring speech and language factors such as disfluency, morpheme, syllable, word, articulation rate and response time, etc. In the general mode, the outcome of utterance analysis is provided in a graph form, and the manger mode is accessed only to the administrator controlling the entire system, such as utterance analysis and video deletion. SUDA helps to reduce clinicians’ and researchers’ work burden by saving time for utterance analysis. It also helps parents to receive detailed information about speech and language development of their child easily. Further, this device will contribute to building a big longitudinal data enough to explore predictors of stuttering recovery and persistence.
Abstract
This study aims to develop a video-based smart utterance deep analyser (SUDA) application that analyzes semi- automatically the utterances that child and mother produce during interactions over time. SUDA runs on the platform of Android, iPhones, and tablet PCs, and allows video recording and uploading to server. In this device, user modes are divided into three modes: expert mode, general mode and manager mode. In the expert mode which is useful for speech and language evaluation, the subject's utterances are analyzed semi-automatically by measuring speech and language factors such as disfluency, morpheme, syllable, word, articulation rate and response time, etc. In the general mode, the outcome of utterance analysis is provided in a graph form, and the manger mode is accessed only to the administrator controlling the entire system, such as utterance analysis and video deletion. SUDA helps to reduce clinicians’ and researchers’ work burden by saving time for utterance analysis. It also helps parents to receive detailed information about speech and language development of their child easily. Further, this device will contribute to building a big longitudinal data enough to explore predictors of stuttering recovery and persistence.
참고문헌 (42)
- 변재원, "초기 말더듬 아동의 비유창성 특성 연구", Communication Sciences and Disorders, 9(1), pp.1~14 (2004), 한국언어청각임상학회
- 전희정, "음운적 단어에 나타난 학령전기 말더듬 아동의 비유창성 발생 위치", Communication Sciences and Disorders, 15(3), pp.422~432 (2010), 한국언어청각임상학회
- Costanza-Smith, A., "The clinical utility of language samples", Perspectives on Language Learning and Education, 17(1), pp.9~15 (2010)
- Garbarino, J., "Use of computerized language analysis to assess child language", Language, Speech, and Hearing Services in Schools, 51(2), pp.504~506 (2020)
- Guitar, B., "Stuttering: An integrated approach to its nature and treatment" (1988), Lippincott Williams & Wilkins
- 고경백, "어플리케이션을 활용한 언어중재가 실어증자의 언어능력 향상에 미치는 영향", 언어치료연구, 26(4), pp.1~10 (2017), 한국언어치료학회[DOI]
- 하승희, "자발화 분석을 통한 만 2세 한국아동의 말-언어발달 특성", Communication Sciences and Disorders, 21(1), pp.47~59 (2016), 한국언어청각임상학회
- Hall, K. D., "A longitudinal investigation of speaking rate in preschool children who stutter", Journal of Speech, Language, and Hearing Research, 42(1), pp.1367~1377 (1999)
- Hugh-Jones, S., "Self-reports of short-and long-term effects of bullying on children who stammer", British Journal of Educational Psychology, 69(2), pp.141~158 (1999)
- Im, H., "The use of smartphone applications in stroke rehabilitation in Korea", Brain & NeuroRehabilitation, 6(1), pp.33~40 (2013)
- Jang, Y. J., "The evolution of smartphone market & the effect by android", Communications of the Korean Institute of Information Scientists and Engineers, 28(5), pp.48~56 (2010)
- Jeong, P. Y., "Speech-language therapy using apps for a student with cerebral palsy", AAC Research & Practice, 2(1), pp.119~126 (2014)
- Kloth, S. A. M., "Chid and mother variables in the development of stuttering among high-risk children : A longitudinal study", Journal of Fluency Disorders, 24, pp.253~265 (1998)
- 김주연, "말더듬 성인의 말더듬 중증도와 말더듬 지각 정도 및 사회불안 간의 상관연구", Communication Sciences and Disorders, 13(4), pp.677~690 (2008), 한국언어청각임상학회
- Kim, S. J., "Articulatory and phonological disorders" (2007), Sigma Press
- Kim, Y. T., "Assessment and treatment of language disorders in children" (2014), Hakjisa
- Lee, B. W., "Korean grammar for speech therapists" (2015), Hakjisa
- 이은주, "취학전 말더듬아동의 기질과 어머니의 기질 및 양육행동 연구", 박사, 언어병리학, pp.2005
- 이하나, "스마트폰기반 음성치료 프로그램 개발연구", 말소리와 음성과학, 11(1), pp.51~61 (2019), 한국음성학회[DOI]
- 이희란, "아동의 디지털 기기 사용과 언어발달에 관한 부모의 인식 조사", Communication Sciences and Disorders, 19(2), pp.178~190 (2014), 한국언어청각임상학회[DOI]
- 이수복, "말더듬아동 종단연구에 관한 문헌연구", Communication Sciences and Disorders, 24(2), pp.490~506 (2019), 한국언어청각임상학회[DOI]
- 이영미, "읽기 중재 어플리케이션 개발을 위한 장애 아동의 읽기 중재 실태 및 부모, 언어치료사의 요구 분석", Communication Sciences and Disorders, 21(3), pp.502~514 (2016), 한국언어청각임상학회
- 이영미, "스마트폰 어플리케이션을 이용한 중재가 인공와우 아동의 청각기억에 미치는 영향", Audiology and Speech Research, 13(2), pp.176~192 (2017), 한국청각언어재활학회
- 이영미, "국내 장애 아동을 위한 언어치료용 모바일 어플리케이션 현황 분석", 말소리와 음성과학, 7(3), pp.153~163 (2015), 한국음성학회[DOI]
- 임장현, "ASD인을 위한 스마트 교육 미디어로서의 앱 개발 및 연구현황 분석", 자폐성장애연구, 12(1), pp.93~117 (2012), 한국자폐학회[DOI]
- MacWhinney, B., "The CHILDES project: Tools for analyzing talk" (2000), Erlbaum
- Manning, W. H., "Clinical decision making in fluency disorders" (2001), Singular
- Miller, J. F., (2015), Salt Software
- Owens, R. E. Jr., "Language development: An introduction" (2016), Pearson
- Pae, S., "Computer and language assessment: Korean computerized language analysis1.0", Communication Sciences & Disorders, 3(1), pp.123~138 (1998)
- Paul, R., "Language disorders from infancy through adolescence" (2012), Mosby
- 박만희, "유창성 일반화 프로그램을 위한 웹기반 유창성 평가시스템 개발", 언어치료연구, 21(3), pp.241~257 (2012), 한국언어치료학회[DOI]
- Pavelko, S. L., "Sampling utterance and grammatical analysis revised (SUGAR): New normative values for language sample analysis measures", Language, Speech, and Hearing Services in Schools, 48(3), pp.197~215 (2017)
- Peters, T. J., "Stuttering: An integrated approach to its nature and treatment" (1991), Williams & Wilkins
- Pezold, M. J., "Using computer programs for language sample analysis", Language Speech, and Hearing Services in Schools, 51(1), pp.103~114 (2020)
- 신명선, "Web 기반 말더듬 성인 평가 시스템 모형 연구", 언어치료연구, 23(3), pp.1~11 (2014), 한국언어치료학회[DOI]
- Sim, H. S., "Paradise-fluency assessment II" (2010), Paradise Welfare Foundation
- Smith, A., "Nature and treatment of stuttering: New directions", pp.204~207 (1997), Allyn and Bacon
- Van Riper, C., "The nature of stuttering" (1982), Prentice-Hall
- Yairi, E., "Early childhood stuttering for clinicians by clinicians" (2005), Pro-ED
- 양심영, "발달장애아동의 사회성 증진을 위한 기능성 모바일 게임 개발", 어린이미디어연구, 10(2), pp.23~43 (2011), 한국어린이미디어학회
- 임동선, "스마트폰 프로그램 개발을 위한 의사소통장애 아동 부모 및 전문가 요구 분석", Communication Sciences and Disorders, 19(4), pp.486~500 (2014), 한국언어청각임상학회[DOI]