Performance of independent component analysis when used to separate competing acoustic sources in anechoic and reverberant conditions
Shirley, BG and Kendrick, P 2008, Performance of independent component analysis when used to separate competing acoustic sources in anechoic and reverberant conditions , in: AES 124th Convention, 17-20 May 2008, Amsterdam.
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A review of existing methods for independent component analysis was carried out and a series of experiments conducted assessing the use of existing independent component analysis (ICA) methods to separate microphone sources in varied acoustic environments. Specifically the research looked at how effectively ICA could perform in a broadcast context using standard microphone techniques such as spaced omni and coincident crossed cardioid pairs. Experiments were carried out in an anechoic chamber and also in a listening room conforming to the ITU-R BS.1116-2 standard. Comparisons showed a large variance in the performance of different ICA algorithms and results clearly indicate the limitations of ICA when performed on audio material recorded in a reverberant environment however it was still shown possible to achieve separation of signals of up to 12dB even in these conditions.
|Item Type:||Conference or Workshop Item (Paper)|
|Themes:||Media, Digital Technology and the Creative Economy|
|Schools:||Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)|
|Journal or Publication Title:||Audio Engineering Society|
|Funders:||British Broadcasting Corporation (BBC)|
|Depositing User:||Dr Ben Shirley|
|Date Deposited:||03 Oct 2014 11:59|
|Last Modified:||29 Oct 2015 00:24|
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