Impact and High-Pitch Noise Suppression Based on Spectral Entropy
Author:
Affiliation:
1. Graduate School of Engineering Science, Osaka University
2. Department of Engineering Informatics, Osaka Electro-Communication University
3. Graduate School of Engineering, Tottori University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E99.A/4/E99.A_777/_pdf
Reference31 articles.
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2. [2] P.J. Wolfe and S.J. Godsill, “Efficient alternatives to the ephraim and malah suppression rule for audio signal enhancement,” EURASIP J. Adv. Signal Process., vol.2003, no.10, pp.1043-1051, Oct. 2003.
3. [3] T. Lotter and P. Vary, “Speech enhancement by MAP spectral amplitude estimation using a super-Gaussian speech model,” EURASIP J. Adv. Signal Process., vol.2005, no.7, pp.1110-1126, July 2005.
4. [4] Y. Tsukamoto, A. Kawamura, and Y. Iiguni, “Speech enhancement based on MAP estimation using a variable speech distribution,” IEICE Trans. Fundamentals, vol.E90-A, no.8, pp.1587-1593, Aug. 2007.
5. [5] R. Martin, “Spectral subtraction based on minimum statistics,” EUSIPCO'94, pp.1182-1185, Sept. 1994.
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