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International Conference on Independent Component Analysis and Signal Separation

ICA 2004: Independent Component Analysis and Blind Signal Separation pp 494–499Cite as

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

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 3195)

Abstract

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.

Keywords

  • Nonnegative Matrix Factorization
  • Nonnegative Matrix
  • Positive Matrix Factorization
  • Input Sound
  • Spectral Basis

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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

  • Casey, M.A., Westner, A.: Separation of Mixed Audio Sources by Independent Subspace Analysis. In: Proceedings of the International Computer Music Conference, Berlin, Germany (August 2000)

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  • Lee, D.D., Seung, H.S.: Learning the parts of objects with nonnegative matrix factorization. Nature 401, 788–791 (1999)

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  • Lee, D.D., Seung, H.S.: Algorithms for Non-Negative Matrix Factorization. In: Neural Information Processing Systems 2000, pp. 556–562 (2000)

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  • Paatero, P.: Least Squares Formulation of Robust Non-Negative Factor Analysis. Chemometrics and Intelligent Laboratory Systems 37, 23–35 (1997)

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  • Smaragdis, P.: Redundancy Reduction for Computational Audition, a Unifying Approach. Doctoral Dissertation, MAS Dept. Massachusetts Institute of Technology, Cambridge MA, USA (2001)

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  • Smaragdis, P., Brown, J.C.: Non-Negative Matrix Factorization for Polyphonic Music Transcription. In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY (October 2003)

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Author information

Authors and Affiliations

  1. Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA, 02139, USA

    Paris Smaragdis

Authors
  1. Paris Smaragdis
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Editor information

Editors and Affiliations

  1. Dept. of Architecture and Computer Technology, University of Granada, Spain

    Carlos G. Puntonet & Alberto Prieto & 

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© 2004 Springer-Verlag Berlin Heidelberg

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Smaragdis, P. (2004). Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_63

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  • DOI: https://doi.org/10.1007/978-3-540-30110-3_63

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23056-4

  • Online ISBN: 978-3-540-30110-3

  • eBook Packages: Springer Book Archive

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