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말운동장애인을 위한 시-청각 단서 제공 읽기 훈련 프로그램 개발
방동혁,전유용,양동권,길세기,권미선,이상민,Bang, D.H.,Jeon, Y.Y.,Yang, D.G.,Kil, S.K.,Kwon, M.S.,Lee, S.M. 대한의용생체공학회 2008 의공학회지 Vol.29 No.4
In this paper, we developed a visual-auditory cue software for reading training of motor speech disorder patients. Motor speech disorder patients can use the visual and/or auditory cues for reading training and improving their symptom. The software provides some sentences with visual-auditory cues. Our sentences used for reading training are adequately comprised on modulation training according to a professional advice in speech therapy field. To ameliorate reading skills we developed two algorithms, first one is automatically searching the starting time of speech spoken by patients and the other one is removing auditory-cue from the recorded speech that recorded at the same time. The searching of speech starting time was experimented by 10 sentences per 6 subjects in four kinds of noisy environments thus the results is that $7.042{\pm}8.99[ms]$ error was detected. The experiment of the cancellation algorithm of auditory-cue was executed from 6 subjects with 1 syllable speech. The result takes improved the speech recognition rate $25{\pm}9.547[%]$ between before and after cancellation of auditory-cue in speech. User satisfaction index of the developed program was estimated as good.
잡음제거 기능을 갖춘 시-청각 단서 제공 읽기 훈련 프로그램
방동혁(D. H. Bang),전유용(Y. Y. Jeon),양동권(D. G. Yang),길세기(S. K. Kil),권미선(M. S. Kwon),이상민(S. M. Lee) 한국재활복지공학회 2008 한국재활복지공학회 학술대회논문집 Vol.2008 No.11
In this paper, we developed a visual-auditory cue software for reading training of motor speech disorder patients. Motor speech disorder patients can use the visual and/or auditory cues for reading training and improving their symptom. The software provides some sentences with visual-auditory cues. Our sentences used for reading training are adequately comprised on modulation training according to a professional advice in speech therapy field. To ameliorate reading skills we developed two algorithms, first one is automatically searching the starting time of speech spoken by patients and the other one is removing auditory-cue from the recorded speech that recorded at the same time. Finally, the noise in the recorded speech has been removed by noise cancellation algorithm.