@ARTICLE{Okazaki_F.A._A_2005, author={Okazaki, F.A. and Kasprzak, W.}, volume={vol. 53}, number={No 1}, journal={Bulletin of the Polish Academy of Sciences Technical Sciences}, pages={49-55}, howpublished={online}, year={2005}, abstract={In order to understand commands given through voice by an operator, user or any human, a robot needs to focus on a single source, to acquire a clear speech sample and to recognize it. A two-step approach to the deconvolution of speech and sound mixtures in the time-domain is proposed. At first, we apply a deconvolution procedure, constrained in the sense, that the de-mixing matrix has fixed diagonal values without non-zero delay parameters. We derive an adaptive rule for the modification of the de-convolution matrix. Hence, the individual outputs extracted in the first step are eventually still self-convolved. This corruption we try to eliminate by a de-correlation process independently for every individual output channel.}, type={Artykuły / Articles}, title={A two-step approach to blind deconvolution of speech and sound sources in the time domain}, URL={http://www.journals.pan.pl/Content/111752/PDF-MASTER/(53-1)49.pdf}, keywords={blind signal analysis, convolved mixtures, independent component analysis, robotic sensors, speech reconstruction}, }