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Common fate model for unison source separation

  • Fabian Robert Stoter
  • , Antoine Liutkus
  • , Roland Badeau
  • , Bernd Edler
  • , Paul Magron
  • Friedrich-Alexander University (FAU) Erlangen-Nürnberg and Universitätsklinikum Erlangen
  • LORIA and INRIA Lorraine
  • CNRS LTCI

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Résumé

In this paper we present a novel source separation method aiming to overcome the difficulty of modelling non-stationary signals. The method can be applied to mixtures of musical instruments with frequency and/or amplitude modulation, e.g. typically caused by vibrato. It is based on a signal representation that divides the complex spectrogram into a grid of patches of arbitrary size. These complex patches are then processed by a two-dimensional discrete Fourier transform, forming a tensor representation which reveals spectral and temporal modulation textures. Our representation can be seen as an alternative to modulation transforms computed on magnitude spectrograms. An adapted factorization model allows to decompose different time-varying harmonic sources based on their particular common modulation profile: hence the name Common Fate Model. The method is evaluated on musical instrument mixtures playing the same fundamental frequency (unison), showing improvement over other state-of-the-art methods.

langue originaleAnglais
titre2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages126-130
Nombre de pages5
ISBN (Electronique)9781479999880
Les DOIs
étatPublié - 18 mai 2016
Modification externeOui
Evénement41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, Chine
Durée: 20 mars 201625 mars 2016

Série de publications

NomICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2016-May
ISSN (imprimé)1520-6149

Une conférence

Une conférence41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Pays/TerritoireChine
La villeShanghai
période20/03/1625/03/16

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