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A New Speech Denoising Algorithm Based on Bilateral Filtering and Wavelet Transform

Caixia Liu, Yanyan Hou, Bin Yang
2018 Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)   unpublished

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A speech denoising algorithm based on bilateral filtering and wavelet transform is proposed in this paper in order to solve the noise problem in speech processing. After the discrete wavelet transform, the low-frequency part of the speech signal is filtered by one-dimensional bilateral filtering. Then the soft thresholding wavelet denoising method is performed on the high-frequency part. The experiments show that this method can effectively reduce the noise while fully reserving the signal detail.
doi:10.2991/macmc-17.2018.122 fatcat:o3gyfix3gzfcfap5y2fj24ab2i
Citation

Caixia Liu, Yanyan Hou, Bin Yang. "A New Speech Denoising Algorithm Based on Bilateral Filtering and Wavelet Transform." Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017) (2018)