Effective improvement of time-series pattern recognition systems using clustering and unsupervised adaptive training
| Project/Area Number |
23700218
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Waseda University |
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Principal Investigator |
OGAWA Tetsuji 早稲田大学, 理工学術院, 准教授 (70386598)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | クラスタリング / ベイズ学習 / 教師なし学習 / 音環境理解 / パターン認識 |
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| Research Abstract |
I developed technologies for clustering speech data into acoustic attributes such as speakers and types of noise and technologies for adaptively optimizing speech recognition systems in unsupervised ways. The developed technologies would be essential for constructing a system structuring speech data and a speech retrieval system.
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Report
(3 results)
Research Products
(34 results)
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[Journal Article] 話者認識技術の現状と課題2013
Author(s)
網野加苗, 石原俊一, 小川哲司, 長内隆, 黒岩眞吾, 仲孝文, 篠田浩一, 柘植覚, 西田昌史, 松井知子, 王龍標
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Journal Title
信学技法(SP)
Volume: vol.112, no.450
Pages: 63-70
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