Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs


In this paper we present an extension to the Non-Negative Matrix Factorization algorithm which is capable of identifying components with temporal structure. We demonstrate the use of this algorithm in the magnitude spectrum domain, where we employ it to perform extraction of multiple sound objects from a single channel auditory scene. International Congress on Independent Component Analysis and Blind Signal Separation (ICA) This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c ©Mitsubishi Electric Research Laboratories, Inc., 2004 201 Broadway, Cambridge, Massachusetts 02139

DOI: 10.1007/978-3-540-30110-3_63

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@inproceedings{Smaragdis2004NonnegativeMF, title={Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs}, author={Paris Smaragdis}, booktitle={ICA}, year={2004} }