2010 Fiscal Year Final Research Report
Efficient noise robust front-end based on target speech model likelihood for automatic speech recognition
| Project/Area Number |
21700188
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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 |
Perception information processing/Intelligent robotics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
SHINOZAKI Takahiro Tokyo Institute of Technology, 大学院・情報理工学研究科, 助教 (80447903)
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| Project Period (FY) |
2009 – 2010
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| Keywords | 音声情報処理 / 音声認識 / 耐雑音処理 |
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| Research Abstract |
To improve speech recognition performance in adverse conditions, a noise compensation method is proposed and investigated that applies a transformation in the spectral domain whose parameters are optimized based on likelihood of speech GMM modeled on the feature domain. Experimental results show that the proposed method is able to work in real-time and it is effective to reduce noise effects.
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