• 재활복지
• /
• v.15 no.2
• /
• pp.147-173
• /
• 2011

The purpose of this study was to develop a stuttering therapy device to aid in stutter therapy. The research method used for this study was as follows: First, the stuttering therapy device based on analysis of the prolonged speech method used at home and abroad was designed to achieve the goal of research. Second, the stuttering therapy device was to be developed to maintain a vocalization state, to use bio-feedback visualization, to have enough inspiration, to use Korean language in this device, and to use transfer and maintenance training in daily life. Third, the stuttering therapy device effectiveness was to be verified through use in clinical cases. The results of subjects receiving speech therapy and using the breathing control prolonged speech device and SI(stuttering Interview) evaluation programs for 3 months were as follows: For subject A, the stuttered word rate was reduced from 3.20 SW/M to 0.5 SW/M. For subject B, the stuttered word rate was reduced from 1.90 SW/M to 0.75 SW/M. For subject C, the stuttered word rate was reduced from 3.37 SW/M to 0.34 SW/M. For Subject D, the stuttered word rate was reduced from 0.51 SW/M to 0 SW/M. Follow-up evaluations verified the effectiveness of how the stuttering therapy device can reduce subjects' SW/M.

• Phonetics and Speech Sciences
• /
• v.12 no.2
• /
• pp.63-72
• /
• 2020

This study aims to develop a video-based smart utterance deep analyser (SUDA) application that analyzes semiautomatically 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.