Wiener filter speech enhancement algorithm base on multi-taper spectral wavelet threshold estimation
The Wiener filtering algorithm with the multi window spectral wavelet threshold estimation method is proposed.A Wiener filtering speech enhancement algorithm is combined with multi window spectral wavelet threshold estimation.The algorithm adopts a multi window spectrum to estimate the noise power spectrum,com-bined with an improved wavelet threshold method to reduce its error,and then calculates the prior signal-to-noise ratio.The improved threshold function has continuity,increases the smoothness of wavelet coefficients,and achieves smooth signal-to-noise ratio.The experimental results show that compared with traditional soft and hard threshold function algorithms,the improved algorithm has a higher signal-to-noise ratio,suppresses the residual noise in the stable noise environment,and improves the speech intelligibility.
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