Mixed-signal VLSI microsystem for acoustic source separation

We present an architecture of a microsystem designed for the task of blind source separation of acoustic sources that impinge on the miniature microphone array. The proposed architecture implements the source separation algorithm in a unique framework that combines wavefront sensing, subband signal...

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Bibliographic Details
Published in2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS) pp. 1176 - 1179
Main Authors Shuo Li, Yingkan Lin, Stanacevic, Milutin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Acoustics
Arrays
Blind source separation
Microphones
Sensors
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Summary:We present an architecture of a microsystem designed for the task of blind source separation of acoustic sources that impinge on the miniature microphone array. The proposed architecture implements the source separation algorithm in a unique framework that combines wavefront sensing, subband signal processing and independent component analysis. The spatial gradients of the acoustic wavefront are computed in the continuous-time domain and decomposed in the 16 subbands. In each band, we perform static independent component analysis. We demonstrate that with the proposed system architecture 13 dB separation performance is achieved in moderate reverberant environment.
ISSN:1548-3746
1558-3899
DOI:10.1109/MWSCAS.2013.6674863