We develop a new blind source separation (BSS) microphone named SSM-001 which can separate multiple sounds in real-time under noisy conditions. The BSS microphone is based on our previously proposed BSS algorithm which combines a Single-Input Multiple-Output (SIMO)-model based BSS and SIMO-model based binary masking. We modify this algorithm and implement it to DSP for the purpose of more effective and realistic real-time operation. In this paper, the issue of real-time implementation in the BSS microphone is illustrated in detail, and the experimental evaluations of the hardware reveal the proposed BSS microphone's efficacy.
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