| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Research Abstract |
We proposed a blind dereverberation method based on spectral subtraction using a multi-channel least mean square algorithm (MCLMS). This method was evaluated in a simulated and real noisy reverberant environment with stationary noise. In this study, we also evaluate this method in a noisy reverberant environment with non-stationary noise like music. After suppressing the music, using a blind source separation based on Efficient FastICA (independent component analysis) algorithm, spectral subtraction based dereverberation method is employed to reduce late reverberation. The proposed method achieves an average relative word error reduction rate of 41.9% and 7.9% compared to baseline method and the state-of-art multi-step linear prediction (MSLP) based dreverberation in a real environment, respectively.
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