| Project/Area Number |
17H04407
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Surgical dentistry
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| Research Institution | Kagoshima University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
上田 裕市 熊本大学, 大学院先端科学研究部(工), 教授 (00141961)
手塚 征宏 鹿児島大学, 医歯学域歯学系, 助教 (50759777)
坂田 聡 熊本大学, 大学院先端科学研究部(工), 助教 (80336205)
三浦 尚子 鹿児島大学, 医歯学域附属病院, 言語聴覚士 (50715331)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
Fiscal Year 2019: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2018: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2017: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
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| Keywords | 口蓋裂 / 異常構音 / 言語治療 / ニューラルネットワーク / 音声可視化 / 構音異常 / 口唇裂口蓋裂 / 音声 / 言語障害 / AI / 音声視覚化 |
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| Outline of Final Research Achievements |
In this study, in order to analyze and visualize the speech characteristics of cleft palate patients, we created an editing tool for 50 words of articulation test, and built a prototype system with recording, editing, analysis, and visualization functions. As a result of visualizing the 5 vowels in color with the speech data of 10 cleft palate children and 5 healthy children, and analyzing the relationship between the nasalance score and nasopharyngeal endoscopic findings, it was found that the colors of 5 vowels correlated with the nasalance score. Furthermore, using the constructed neural network (NN) system, we observed changes in articulation characteristics of eight cleft palate children before and after fistula closure. As a result, it has become possible to visualize that as the nasopharyngeal closure function, which was associated with fistula closure, was improved, displacement of the articulation place were gradually improved and closed to that of a healthy subjects.
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| Academic Significance and Societal Importance of the Research Achievements |
口蓋裂術後の言語異常に対する予知性の高い言語訓練法は未だない。言語訓練には、患者の異常言語の認識（弁別）と中枢におけるフィードバック機構が良好に働くことが重要であるが、しばしば聴覚異常を有する患者では聴覚的なフィードバックを活用することは困難となる。今回開発した新規ニューラルネットワーク(NN)システムは口蓋裂児の鼻咽腔閉鎖機能やその変化に合わせた調音位置の変動を詳細に観察可能にできたことで、口蓋裂における異常構音の発生メカニズムの解明やより効果的な視覚フィードバックを応用した言語訓練の開発が期待できる。音声可視化システムは、口蓋裂児の開鼻声の程度ならびに構音異常の診断に有用なツールといえる。
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