Abstract
Blind separation from an underdetermined system is approached using a learned basis function dictionary. An overcomplete basis function set is learned from individual speech samples and the combined set reduced in size by eliminating similar functions. This library is then used as an effective overcomplete basis set for separation
Translated title of the contribution | Underdetermined blind separation using learned basis function sets |
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Original language | English |
Pages (from-to) | 158 - 160 |
Journal | Electronics Letters |
Volume | 39 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2003 |
Bibliographical note
Publisher: Institution of Electrical Engineers (IEE)Rose publication type: Journal article
Sponsorship: The authors wish to thank the UK MOD TGOl
CRP Fellowship Project for support