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.
|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
|Conference||International Workshop on Acoustic Echo and Noise control 2010|
|Abbreviated title||IWAENC 2010|
|Period||30.08.10 → 02.09.10|