Multiple ICA-based real-time blind source extraction applied to handy size microphone

A new blind source extraction method in widespread noise conditions is proposed, which is based on multiple frequency-domain independent component analysis (FDICA) combining projection back and spectral subtraction. In addition, We implement the proposed method to digital signal processor (DSP) for a more realistic real-time operation, and develop a new blind source extraction (BSE) microphone which can extract a target sound in real-time. In this paper, we illustrate and evaluate the proposed method and BSE microphone. And experimental results reveal that the extraction performance of the proposed method are superior to that of conventional methods, and we show the efficacy of microphone.