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EURASIP Journal on Audio, Speech, and Music Processing
EURASIP Journal on Audio, Speech, and Music Processing Cover Image
  • Research Article
  • Open Access

Underdetermined Blind Audio Source Separation Using Modal Decomposition

  • 1Email author,
  • 1 and
  • 1
EURASIP Journal on Audio, Speech, and Music Processing20072007:085438

https://doi.org/10.1155/2007/85438

©  Abdeldjalil Aïssa-El-Bey et al. 2007

  • Received: 1 July 2006
  • Accepted: 14 December 2006
  • Published:

Abstract

This paper introduces new algorithms for the blind separation of audio sources using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped sinusoidal (modal) components. Based on this representation, we propose a two-step approach consisting of a signal analysis (extraction of the modal components) followed by a signal synthesis (grouping of the components belonging to the same source) using vector clustering. For the signal analysis, two existing algorithms are considered and compared: namely the EMD (empirical mode decomposition) algorithm and a parametric estimation algorithm using ESPRIT technique. A major advantage of the proposed method resides in its validity for both instantaneous and convolutive mixtures and its ability to separate more sources than sensors. Simulation results are given to compare and assess the performance of the proposed algorithms.

Keywords

  • Parametric Estimation
  • Estimation Algorithm
  • Acoustics
  • Signal Analysis
  • Empirical Mode Decomposition

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Authors’ Affiliations

(1)
Départment TSI, École Nationale Supérieure des Télécommunications (ENST), 46 Rue Barrault, Paris, Cedex 13 75634, France

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Copyright

© Abdeldjalil Aïssa-El-Bey et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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