Second order impropriety based complex-valued algorithm for frequency-domain blind separation of convolutive speech mixtures

The performance of the complex-valued blind source separation (BSS) is studied in the frequency domain approach to separate convolutive speech mixtures. In this context, the strong uncorrelating transform (SUT) and complex maximization of non-Gaussianity (CMN) do not produce satisfactory separation...

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Veröffentlicht in:	2011 IEEE International Workshop on Machine Learning for Signal Processing S. 1 - 6
Hauptverfasser:	Fengyu Cong, Qiu-Hua Lin, Peng Jia, Xizhi Shi, Ristaniemi, T.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2011
Schlagworte:	complex-valued BSS convolutive speech Correlation frequency domain improper second order Source separation Speech Time domain analysis Time frequency analysis Vectors
ISBN:	1457716216, 9781457716218
ISSN:	1551-2541
Online-Zugang:	Volltext
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