Skip to Main content Skip to Navigation
Journal articles

Kernel Additive Models for Source Separation

Abstract : Source separation consists of separating a signal into additive components. It is a topic of considerable interest with many applications that has gathered much attention recently. Here, we introduce a new framework for source separation called Kernel Additive Modelling, which is based on local regression and permits efficient separation of multidimensional and/or nonnegative and/or non-regularly sampled signals. The main idea of the method is to assume that a source at some location can be estimated using its values at other locations nearby, where nearness is defined through a source-specific proximity kernel. Such a kernel provides an efficient way to account for features like periodicity, continuity, smoothness, stability over time or frequency, self-similarity, etc. In many cases, such local dynamics are indeed much more natural to assess than any global model such as a tensor factorization. This framework permits one to use different proximity kernels for different sources and to separate them using the iterative kernel backfitting algorithm we describe. As we show, kernel additive modelling generalizes many recent and efficient techniques for source separation and opens the path to creating and combining source models in a principled way. Experimental results on the separation of synthetic and audio signals demonstrate the effectiveness of the approach.
Complete list of metadata

Cited literature [55 references]  Display  Hide  Download
Contributor : Antoine Liutkus Connect in order to contact the contributor
Submitted on : Monday, February 16, 2015 - 12:31:53 AM
Last modification on : Friday, December 3, 2021 - 11:43:37 AM
Long-term archiving on: : Sunday, April 16, 2017 - 8:49:43 AM


Files produced by the author(s)



Antoine Liutkus, Derry Fitzgerald, Zafar Rafii, Bryan Pardo, Laurent Daudet. Kernel Additive Models for Source Separation. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2014, pp.14. ⟨10.1109/TSP.2014.2332434⟩. ⟨hal-01011044v2⟩



Les métriques sont temporairement indisponibles