Abstract
In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sensor setup. Since the assumed linear support of the ordinary Laplacian distribution is not valid to model angular quantities, such as the Direction of Arrival to the set of sensors, the authors investigate the performance of a Mixture of Warped Laplacians to perform efficient source separation with promising results.
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Mitianoudis, N., Stathaki, T. (2007). Underdetermined Source Separation Using Mixtures of Warped Laplacians. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds) Independent Component Analysis and Signal Separation. ICA 2007. Lecture Notes in Computer Science, vol 4666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74494-8_30
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DOI: https://doi.org/10.1007/978-3-540-74494-8_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74493-1
Online ISBN: 978-3-540-74494-8
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