| First International Workshop on IndependentComponent Analysis and Signal Separation (ICA'99) (2008) | |||||||||||||
Abstract | |||||||||||||
| In this paper, a method of blind separation for convolved non-stationary signals (e.g., speech signals and music) is presented. Our method achieves blind separation by forcing mixed signals to uncorrelate with each other. The validity of the proposed method has been confirmed by a computer simulation and an experimentinananechoic room [7]. In this paper, we apply our method to an experimentwhich extracts two source signals from their mixtures observed in a normal room. The experiment is implemented in a noisy environment. Moreover, we test our algorithm using the data obtained from Computational Neurobiology Lab.'s Blind Source Separation Web Page. | |||||||||||||
Details der Publikation | |||||||||||||
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