14 March 2013 Digital speech enhancement based on DTOMP and adaptive quantile
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Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87681M (2013) https://doi.org/10.1117/12.2010779
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
Compressed Sensing (CS) that can effectively extract the information contained in the signal is a new sampling theory based on signal sparseness. This paper applies CS theory in digital speech signal enhancement processing, proposes an adaptive quantile method for the noise power estimation and combines the improved double-threshold orthogonal matching pursuit algorithm for speech reconstruction, then achieves speech enhancement processing. Compared with the simulation results of the spectral subtraction and the subspace algorithm, the experiment results verify the feasibility and effectiveness of the algorithm proposed in this paper applied to speech enhancement processing.
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Anna Wang, Xiaoxing Zhou, Changliang Xue, Xiyan Sun, Hongying Sun, "Digital speech enhancement based on DTOMP and adaptive quantile", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681M (14 March 2013); doi: 10.1117/12.2010779; https://doi.org/10.1117/12.2010779
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