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Independent Subspace Analysis using Locally Linear Embedding
Fitzgerald, Derry; Lawlor, Bob; Coyle, Eugene
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.
Keyword(s): Electronic Engineering; Locally Linear Embedding; Independent Subspace Analysis; Principal Component Analysis
Publication Date:
Type: Conference item
Peer-Reviewed: No
Contributor(s): Fitzgerald, Derry; Coyle, Eugene; Lawlor, Bob
Institution: Maynooth University
Citation(s): 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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First Indexed: 2020-01-31 06:09:49 Last Updated: 2020-04-02 07:53:10