A new blind separation method for under-determined speech signals based on single source interval pre-extraction

Xiangning Hao; Guixin Zhang; Liqiong Deng

doi:10.1051/matecconf/202133604012

All issues

Volume 336 (2021)

MATEC Web Conf., 336 (2021) 04012

References

Open Access

Issue		MATEC Web Conf. Volume 336, 2021 2020 2^nd International Conference on Computer Science Communication and Network Security (CSCNS2020)


Article Number		04012
Number of page(s)		5
Section		Communication Technology
DOI		https://doi.org/10.1051/matecconf/202133604012
Published online		15 February 2021

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[1] A JBell, T JSejnowski. An information-maximization approach to blind separation and blind separation and blindde convolution[J].NeuralComputation,1995(7):1129-1159. [Google Scholar]

[2] Aapo Hyvarinen, ErkkiO.ja. Independent ComponentA-nalysis:Algorithmsand Applications[J].NeuralNet-works,2000, 13: 411-430. [Google Scholar]

[3] Xining Zhang, Yuhe Liao, Guangrui Wen, A new blind source separation method and its application, Sichuan Armory Engineering Journal, January 2010, Volume 31, Issue 1 [Google Scholar]

[4] Gang Wang,Bin Sun. Blind signal separation technology and algorithm research [J]. Aerospace Electronic Warfare, 2015, 31(4): 53-56. doi: 10.16328/j.htdz8511.2015.04.015. [Google Scholar]

[5] Bai Lin, Chen Hao,A new method of blind separation of speech signals under underdetermined conditions, Computer Application Research (Application Research off Computers), July 2010, Volume 27, Issue 7 (Vol.27No.7, Jul.2010) [Google Scholar]

[6] Laljahan L, Iqbal S, Sarwar F, et al. The relationship of generalized fractional Hilbert transform with fractional Mellin and fractional Laplace transforms [J]. American Scientific Research Journal for Engineering, Technology, and Sciences(ASRJETS), 2017, 38 (2):90-97. [Google Scholar]