An Improved Speech Signal Noise Reduction by using a New Thresholding Algorithm
نویسنده
چکیده
In this paper, we propose a new adaptive wavelet thresholding method for using in speech Enhancement. This modified version of the wavelet thresholding method updates an adaptive threshold in each frame. In the proposed method the selection of the wavelet threshold value depends on the estimates of the clean speech signal features. The evaluation results show that by using the specific features of the speech signal and the estimation of the current frame clean speech energy, the new method achieves higher Perceptual Evaluation of Speech Quality scores (PESQ, ITU-T P.862) comparison to other threshold selection methods for wavelet-based speech enhancement.
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