Full Paper at IEEE Xplore

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.

  Přepis řeči



Please sign in to post your comment!

  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