Abstract
Time-domain methods for blind separation of audio signals are preferred due to their lower demand for available data and the avoidance of the permutation problem. However, their computational demands increase rapidly with the length of separating filters due to the simultaneous growth of the dimension of an observation space. We propose, in this paper, a general framework that allows the time-domain methods to compute separating filters of theoretically infinite length without increasing the dimension. Based on this framework, we derive a generalized version of the time-domain method of Koldovský and Tichavský (2008). For instance, it is demonstrated that its performance might be improved by 4dB of SIR using the Laguerre filter bank.
This work was supported by Ministry of Education, Youth and Sports of the Czech Republic through the project 1M0572 and by Grant Agency of the Czech Republic through the project 102/09/1278.
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Koldovský, Z., Tichavský, P., Málek, J. (2010). Time-Domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure . In: Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2010. Lecture Notes in Computer Science, vol 6365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15995-4_3
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DOI: https://doi.org/10.1007/978-3-642-15995-4_3
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