Speech Enhancement Based on Turbo Iteration
نویسندگان
چکیده
A Turbo iterative method for speech enhancement is proposed. The Kalman filter with the voice generation model and the wavelet threshold filter with the short-term spectrum are combined through Turbo iteration. Both filters work in rotation and each one takes some feedback information from the other filter as a priori condition. Our experiment results show that the Turbo iterative algorithm will converge within 10 iterations, and it achieves a good balance between the noise reduction and voice restoration.
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تاریخ انتشار 2009