Notice of RetractionA new algorithm of the wavelet packet speech denoising based on masking perception model

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Wavelet packet analysis can better simulate the frequency analysis characteristics of human ear. Based on fully considering of the human auditory perception and the noise statistical characteristics, accordingly a new Bark scale adaptive threshold algorithm of speech de-noising is presented. It can effectively overcome the problem which the commonly used wavelet pocket de-noising algorithm will cause envelope distortion problem for reconstructed signal because of unvoiced information losses, as input signal has low SNR. The new wavelet threshold algorithm is obtained based on sub-band signal to noise energy ratio in Bark frequency domain the adaptive adjustment of coefficient. With incomplete wavelet packet decomposition used to fit speech critical band, and Motivated by speech perception model, it can increase the accuracy of threshold value judgement and use less Bark bandwidth effectively reduce the wavelet packet calculation, easy-to-real-time processing. Simulation results show that the new algorithm in low SNR input cases has obvious advantages than the wavelet packet fixed threshold and the wavelet packet layered threshold algorithm, such as getting maximal signal-to-noise ratio and minimizing waveform distortion, by using the new algorithm the weak features of speech signal can be preserved effectively and the noise is eliminated adequately at the same time. The Mean Opinion Score of the enhanced speech has a better performance in Subjective test and a better auditory effect could be obtained.