Analysis of the performance and limitations of ICA-based relative impulse response identification
Meier S, Kellermann W (2015)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2015
Pages Range: 414-418
Event location: Nice
ISBN: 978-0-9928626-3-3
DOI: 10.1109/EUSIPCO.2015.7362416
Abstract
Estimating impulse responses for a single source is a crucial problem for many applications in audio signal processing, such as source extraction. Since absolute impulse responses are hard to identify, relative impulse responses or, equivalently, relative transfer functions are identified instead. Independent Component Analysis (ICA) for convolutivemixtures offers the possibility to determine relative impulse responses implicitly by separating the target source from interfering sources. In this paper, fundamental limitations of relative transfer function (RTF) estimation are analyzed by calculating least-squares (LS)-optimal estimates in adverse scenarios, where the influence of scatterers and reverberation on the performance must be accounted for. Hereupon, ICA-based RTF estimation in the TRINICON framework is compared with the LS-optimal estimates.
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How to cite
APA:
Meier, S., & Kellermann, W. (2015). Analysis of the performance and limitations of ICA-based relative impulse response identification. In Proceedings of the 23rd European Signal Processing Conference (EUSIPCO) (pp. 414-418). Nice, FR.
MLA:
Meier, Stefan, and Walter Kellermann. "Analysis of the performance and limitations of ICA-based relative impulse response identification." Proceedings of the 23rd European Signal Processing Conference (EUSIPCO), Nice 2015. 414-418.
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