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In this paper, we propose a speech enhancement scheme by only using a priori codebook of speech spectral shapes based on a novel spectral distortion measure. The noise signal is estimated by Minima Controlled Recursive Averaging (MCRA) algorithm instead of using noise spectral shapes stored in trained codebooks. Then, combining with the cross-correlation between the spectra of noisy speech and noise,...
In this paper, we propose a novel speech enhancement method by using power spectra smooth of the speech and noise in Wiener filtering based on the fact that a priori SNR in standard Wiener filtering reflects the power ratio of speech and noise in frequency bins. This power ratio also could be approximated by the smoothed spectra of speech and noise. We estimate the power spectra of noise and speech...
In this paper, we propose a speech enhancement method based on a few shapes of speech spectrum. First, we utilizes Minima Controlled Recursive Averaging (MCRA) algorithm to estimate the noise instead of training the noise codebooks used in conventional method. Then, the spectral shapes and the spectral gains of speech and noise are optimized by minimizing the spectral distortion between the noisy...
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