Abstract
Speech denoising for two microphones is discussed using signal’s sparsity in this paper. A novel speech denoising algorithm is proposed. The algorithm firstly divides the noisy speech into a disjoint part and a joint part, and then removals the joint part which is mainly noise. Second, it deletes the noise samples on the “cross” in the disjoint part. Third, the denoisy speech is smoothed by a moving filter. Finally, several speech experiments demonstrate it performance and practices.
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Sun, G., Gao, F., Lv, J., Xiao, M. (2010). Dual Channel Speech Denoising Based on Sparse Representation. In: Zeng, Z., Wang, J. (eds) Advances in Neural Network Research and Applications. Lecture Notes in Electrical Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12990-2_42
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DOI: https://doi.org/10.1007/978-3-642-12990-2_42
Publisher Name: Springer, Berlin, Heidelberg
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