| Project/Area Number |
21700583
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Rehabilitation science/Welfare engineering
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| Research Institution | Saga University |
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Principal Investigator |
FUKUMOTO Hisao Saga University, 工学系研究科, 助教 (60346872)
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| Project Period (FY) |
2009 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | ヒューマンインターフェース / 表面筋電信号 / 代用発声 / パターン認識 / 表面筋電 / 無発声音声認識 |
|---|
| Research Abstract |
The purpose of this work is to achieve unvoiced speech recognition using Surface Electromyogram (SEMG) of the facial muscles when voiced communication is impossible. However, the recognition accuracy was low for some speakers who were beginner of unvoiced speech. To address this issue, we have examined the classification of the activity values measured from multiple speakers using Self-Organizing Map (SOM) algorithm and determined the standard pattern of the activity values for each vowel. In addition, the author has proposed a training system for unvoiced speech.
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