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In this paper, we propose an energy-based technique to track the power of multiple simultaneous speakers using an ad hoc microphone array with unknown microphone positions. By considering the short-term power of the microphone signals, the problem can be converted into a non-negative blind source separation (NBSS) problem. By exploiting the prior knowledge that the source signals are non-negative...
The common zeros problem for blind system identification (BSI) is well known. It degrades the performance of classic BSI algorithms and therefore imposes the limit on the performance of subsequent speech dereverberation. The effect of near-common zeros has recently been studied in terms of channel diversity and the degradation in performance of BSI and multichannel equalization algorithms has been...
In this paper, we propose two approaches for combining geometric information with ICA algorithm to solve permutation problem under the scenario where a rough information about the direction of the desired source is known. The first approach is a new blind extraction algorithm with a soft quadratic geometric constraint. The desired source is guaranteed to be conveyed to the output with little distortion...
The blind estimation technique is useful for an adaptive array antenna, a MIMO communication system and a cognitive wireless communication system. The independent component analysis (ICA) developing in the area of the image processing and the speech processing is a simple algorithm with demand upon less priori knowledge. In this report, it is described that an experiment of the blind signal separation...
The underdetermined blind source separation problem is the one of separating a large number of sources using a smaller number of mixtures. The DUET algorithm presents a solution to the underdetermined blind source separation problem, demixing an arbitrary number of speech signals from only 2 anechoic mixtures of them. Here the DUET method is presented as a general framework for extending classic array...
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