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Proceedings Paper

Digital speech enhancement based on DTOMP and adaptive quantile
Author(s): Anna Wang; Xiaoxing Zhou; Changliang Xue; Xiyan Sun; Hongying Sun
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Paper 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.

Paper Details

Date Published: 14 March 2013
PDF: 8 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681M (14 March 2013); doi: 10.1117/12.2010779
Show Author Affiliations
Anna Wang, Northeastern Univ. (China)
Xiaoxing Zhou, Northeastern Univ. (China)
Changliang Xue, Northeastern Univ. (China)
Xiyan Sun, Northeastern Univ. (China)
Hongying Sun, Northwest Normal Univ. (China)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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