| Project/Area Number |
19300281
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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 |
Educational technology
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| Research Institution | Kobe University |
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Principal Investigator |
NAKABAYASHI Toshitaka Kobe University, 大学院・人間発達環境学研究科, 教授 (50164265)
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| Co-Investigator(Kenkyū-buntansha) |
INAGAKI Shigenori 神戸大学, 人間発達環境学研究科, 教授 (70176387)
TKIGUCHI Tetsuya 神戸大学, 自然科学系先端融合研究環都市安全研究センター, 准教授 (40397815)
TATSUMI Takeo 東京農工大学, 総合情報メディアセンター, 准教授 (70257195)
LI Yoshiaki 追手門学院大学, 経済学部, 准教授 (60411485)
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| Co-Investigator(Renkei-kenkyūsha) |
ARIKI Yasuo 神戸大学, 自然科学系先端融合研究環都市安全研究センター, 教授 (10135519)
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| Research Collaborator |
KISHIDA Daisuke 兵庫県立神戸特別支援学校, 教諭
FUZIWARA Shiori 兵庫県立神戸特別支援学校, 教諭
MATSUMASA Hironori 神戸大学, 工学研究科修士課程
MIYAMOTO Chikoto 神戸大学, 工学研究科修士課程
KOMAI Yuuto 神戸大学, 工学研究科修士課程
TANAKA Katsuyuki 神戸大学, 工学研究科修士課程
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥20,280,000 (Direct Cost: ¥15,600,000、Indirect Cost: ¥4,680,000)
Fiscal Year 2009: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2008: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2007: ¥9,490,000 (Direct Cost: ¥7,300,000、Indirect Cost: ¥2,190,000)
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| Keywords | ヒューマン・インターフェイス / コミュニケーション / 知的障害 / 自閉症 / 構音障害 / ユニバーサルデザイン / ヒューマン・インターファイス / 音声認識 / VOCA |
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| Research Abstract |
We investigated the effectiveness of the communication device "Picture aid" developed for the people with mental retardation and autistic disorder. On the other hand, we built an acoustic model for a person with articulation disorder and evaluated speech recognition in the task of operation for home information appliances by ECU. Further we investigated the multimodal speech recognition of them resulting from athetoid cerebral palsy. The articulation of speech tends to become unstable due to strain on speech-related muscles, and that causes degradation of speech recognition. Therefore, we use multiple acoustic frames as an acoustic feature to solve this problem. In addition to acoustic features, visual features are used to increase noise robustness in a real environment. However, there are recognition problems resulting from the tendency of those suffering from cerebral palsy to move their head erratically. So, we investigated a pose-robust audio-visual speech recognition method using an Active Appearance Model to solve this problem.
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