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» Lattice ICA for the separation of speech signals
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ESANN
2004
13 years 6 months ago
Lattice ICA for the separation of speech signals
This work explains a method for blind separation of a linear mixture of sources, through geometrical considerations concerning the scatter plot. This method is applied to a mixture...
Manuel Rodríguez Álvarez, Fernando R...
ICA
2004
Springer
13 years 10 months ago
A Geometric Approach for Separating Several Speech Signals
In this paper a new geometrical approach for separating speech signals is presented. This approach can be directly applied to separate more than two speech signals. It is based on ...
Massoud Babaie-Zadeh, Ali Mansour, Christian Jutte...
ICASSP
2010
IEEE
13 years 5 months ago
Reverberated speech signal separation based on regularized subband feedforward ICA and instantaneous direction of arrival
In this paper, independent component analysis (ICA) in a subband domain has been extended into a feed-forward network. The feed-forward network maximizes mutual independence of se...
Lae-Hoon Kim, Ivan Tashev, Alex Acero
ICA
2004
Springer
13 years 10 months ago
Nonlinear Postprocessing for Blind Speech Separation
Abstract. Frequency domain ICA has been used successfully to separate the utterances of interfering speakers in convolutive environments, see e.g. [6],[7]. Improved separation resu...
Dorothea Kolossa, Reinhold Orglmeister
ICA
2007
Springer
13 years 11 months ago
The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals
Abstract. In this paper, we investigate the importance of the high frequencies in the problem of convolutive blind source separation (BSS) of speech signals. In particular, we focu...
Maria G. Jafari, Mark D. Plumbley