A computational neural model for the prediction of ERPs to speech sounds
Project/Area Number |
21700160
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | Toyohashi University of Technology |
Principal Investigator |
SUGIMOTO Shunji Toyohashi University of Technology, 大学院・工学研究科, 助教 (50422811)
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Project Period (FY) |
2009 – 2010
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Project Status |
Completed (Fiscal Year 2010)
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Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2009: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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Keywords | 知能情報処理 / 事象関連電位 / 計算モデル / 音声言語 / 意味的・統語的処理 / 文脈 |
Research Abstract |
The aim of this study is to predict event-related potentials (ERPs) to speech sounds only by speech signals. The amplitude envelope of sounds was used for ERP modeling. The results showed that the ERP complex elicited by the onset of a pure-tone burst was effective to predict the ERPs. The present findings contribute to the research for understanding semantic and syntactic processes of speech sounds.
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Report
(3 results)
Research Products
(24 results)
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[Presentation] 音声の振幅包絡と脳波活動の関係2010
Author(s)
杉本俊二, 塚原伸亮, 池田尚生,山口陽子,堀川順生
Organizer
日本音響学会2010年春季研究発表会
Place of Presentation
電気通信大学(東京都)
Year and Date
2010-03-09
Related Report
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