A watermarking-based method for single-channel audio source separation

  • Authors:
  • Mathieu Parvaix;Laurent Girin;Jean-Marc Brossier

  • Affiliations:
  • Grenoble Lab. of Images, Speech, Signal and Automation (GIPSA-lab, DPC), CNRS UMR 5216 , Grenoble Institute of Technology, France;Grenoble Lab. of Images, Speech, Signal and Automation (GIPSA-lab, DPC), CNRS UMR 5216 , Grenoble Institute of Technology, France;Grenoble Lab. of Images, Speech, Signal and Automation (GIPSA-lab, DIS), CNRS UMR 5216 , Grenoble Institute of Technology, France

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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Abstract

In this paper, we address the issue of audio source separation with a single channel, i.e. the estimation of source signals from a single mixture of these signals. This problem is addressed with a specific configuration: source signals are assumed to be available before the mix is processed. We propose an original method that uses a watermarking technique to embed information about the source signals into the mix signal. Extracting this watermark enables an end-user who has no access to the original sources to separate these signals from their mixture. Thereby several instruments or voice signals can be segregated from a single piece of music to enable post-mixing processing such as volume control.