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Real Time Blind Source Separation in Reverberant Environments
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<p>An online convolutive blind source separation solution has been developed for use in reverberant environments with stationary sources. Results are presented for simulation and real world data. The system achieves a separation SINR of 16.8 dB when operating on a two source mixture, with a total acoustic delay was 270 ms. This is on par with, and in many respects outperforms various published algorithms [1],[2]. A number of instantaneous blind source separation algorithms have been developed, including a block wise and recursive ICA algorithm, and a clustering based algorithm, able to obtain up to 110 dB SIR performance. The system has been realised in both Matlab and C, and is modular, allowing for easy update of the ICA algorithm that is the core of the unmixing process.</p>
Title: Real Time Blind Source Separation in Reverberant Environments
Description:
<p>An online convolutive blind source separation solution has been developed for use in reverberant environments with stationary sources.
Results are presented for simulation and real world data.
The system achieves a separation SINR of 16.
8 dB when operating on a two source mixture, with a total acoustic delay was 270 ms.
This is on par with, and in many respects outperforms various published algorithms [1],[2].
A number of instantaneous blind source separation algorithms have been developed, including a block wise and recursive ICA algorithm, and a clustering based algorithm, able to obtain up to 110 dB SIR performance.
The system has been realised in both Matlab and C, and is modular, allowing for easy update of the ICA algorithm that is the core of the unmixing process.
</p>.
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