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Approximate nearest-subspace representations for sound mixtures

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1 Author(s)
Smaragdis, P. ; Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

In this paper we present a novel approach to describe sound mixtures which is based on a geometric viewpoint. In this approach we extend the idea of a nearest-neighbor representation to address the case of superimposed sources. We show that in order to account for mixing effects we need to perform a search for nearest-subspaces, as opposed to nearest-neighbors. In order to reduce the excessive computational complexity of this search we present an efficient algorithm to solve this problem which amounts to a sparse coding approach. We demonstrate the efficacy of this algorithm by using it to separate mixtures of speech.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Date of Conference:

22-27 May 2011