Journal of Shanghai University(Natural Science Edition)
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JIAO Ren-jie,HOU Li-min
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Abstract: An effective method to smooth prior SNR is proposed. Based on the definition of prior SNR, this method smoothes prior SNR by using wavelet thresholding multi-taper estimators to reduce variance of speech and noise power spectrum.The method for smoothing prior SNR can avoid delay in the estimated prior SNR when energy level at the beginning of speech is high by using the decisiondirected method. It can also enhance estimation accuracy of prior SNR. Speech enhancement combined with this method can effectively suppress “music noise”, especially at low input SNR
Key words: prior SNR, spectrum estimation, speech enhancement
CLC Number:
TP 912.35
JIAO Ren-jie;HOU Li-min. Speech Enhancement Based on Wavelet Thresholding Multi-taper Estimators[J]. Journal of Shanghai University(Natural Science Edition).
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URL: https://www.journal.shu.edu.cn/EN/
https://www.journal.shu.edu.cn/EN/Y2008/V14/I3/230