APPROXIMATE NEAREST-SUBSPACE REPRESENTATIONS FOR SOUND MIXTURES

Innovative Representations of Audio

Přednášející: Paris Smaragdis, Autoři: Paris Smaragdis, University of Illinois Urbana-Champaign, United States

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.

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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5947702

Informace o přednášce

Nahráno:	2011-05-26 11:10 - 11:30, Club D
Přidáno:	18. 6. 2011 23:30
Počet zhlédnutí:	35
Rozlišení videa:	1024x576 px, 512x288 px
Délka videa:	0:21:12
Audio stopa:	MP3 [7.17 MB], 0:21:12