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KMID : 1022420200120020063
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Phonetics and Speech Sciences
2020 Volume.12 No. 2 p.63 ~ p.72
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Development of the video-based smart utterance deep analyser (SUDA) application
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Lee Soo-Bok
Kwak Hyo-Jung
Yun Jae-Min
Shin Dong-Chun
Sim Hyun-Sub
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Abstract
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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.
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KEYWORD
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stuttering, longitudinal study, video-based utterance analyser, hybrid application, speech language therapy
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FullTexts / Linksout information
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Listed journal information
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