Abstract
n this paper, we propose a modification to thecorrelation approach in convolutive blind source separationto achieve an improved robustness. An often used approachfor separation of convolutive mixtures is the transformationto the time-frequency domain. This allows for the use of aninstantaneous ICA algorithm independently in each frequencybin, which greatly reduces complexity. The drawback of thisapproach are the so-called permutation and scaling problems.Here, we modify the well known correlation approach for makingit more robust. We propose to incorporate a confidence functionbased on estimated SIR which allows for detection of frequencybins with high probability of wrong permutations. The results ofthe new algorithm will be shown on an real-world example.
Original language | English |
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Number of pages | 4 |
Publication status | Published - 01.08.2010 |
Event | International Workshop on Acoustic Echo and Noise control 2010 - Tel Aviv, Israel Duration: 30.08.2010 → 02.09.2010 http://www.iwaenc.org/proceedings/2010/HTML/welcome.html |
Conference
Conference | International Workshop on Acoustic Echo and Noise control 2010 |
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Abbreviated title | IWAENC 2010 |
Country/Territory | Israel |
City | Tel Aviv |
Period | 30.08.10 → 02.09.10 |
Internet address |