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Independent Subspace Analysis using Locally Linear Embedding |
Fitzgerald, Derry; Lawlor, Bob; Coyle, Eugene
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While Independent Subspace Analysis provides a means of blindly separating sound sources from a single channel signal, it does have a number of problems. In particular the amount of information required for separation of sources varies with the signal. This is as a result of the variance-based nature of Principal Component Analysis, which is used for dimensional reduction in the Independent Subspace Analysis algorithm. In an attempt to overcome this problem the use of a non-variance based dimensional reduction method, Locally Linear Embedding, is proposed. Locally Linear Embedding is a geometry based dimensional reduction technique. The use of this approach is demonstrated by its application to single channel source separation, and its merits discussed.
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Keyword(s):
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Electronic Engineering; Locally Linear Embedding; Independent Subspace Analysis; Principal Component Analysis |
Publication Date:
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2003 |
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Type:
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Conference item |
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Peer-Reviewed:
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No |
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Contributor(s):
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Fitzgerald, Derry; Coyle, Eugene; Lawlor, Bob |
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Institution:
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Maynooth University |
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Citation(s):
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Fitzgerald, Derry and Lawlor, Bob and Coyle, Eugene (2003) Independent Subspace Analysis using Locally Linear Embedding. In: Digital Audio Effects Conference (DAFX03), September 8-11, 2003, Queen Mary, University of London. |
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File Format(s):
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other |
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Related Link(s):
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http://mural.maynoothuniversity.ie/694/1/ELE-Bob5.pdf |
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First Indexed:
2020-01-31 06:09:49 Last Updated:
2020-04-02 07:53:10 |
