Institut für Nachrichtentechnik

Univ.-Prof. Dr.-Ing. Jens-Rainer Ohm

Navigation

• 1.1: Home
• 1.2: Team
  • 1.2.1: Prof. Ohm
  • 1.2.2: Dr. Rohlfing
    • 1.2.2.1: Publication Websites
      • 1.2.2.1.1: Adaptive coding of non-negative factorization parameters with application to informed source separation
      • 1.2.2.1.2: Audio source separation with magnitude priors: the BEADS model
      • 1.2.2.1.3: Quantization-aware Parameter Estimation for Audio Upmixing
      • 1.2.2.1.4: Very Low Bitrate Spatial Audio Coding with Dimensionality Reduction
      • 1.2.2.1.5: Generalized constraints for NMF with application to Informed Source Separation

      • Current page is 1.2.2.1.6: NMF-based Informed Source Separation

  • 1.2.4: Sekretariat Frau Szelag
  • 1.2.5: T. Claßen
  • 1.2.6: D. Mehlem
  • 1.2.7: C. Jansen
  • 1.2.10: I. Reißel
  • 1.2.11: G. Kaschel
  • 1.2.12: H. Flasche
  • 1.2.13: Alumni
• 1.4: Lehre
• 1.5: Forschung
• 1.6: Projekte
• 1.7: Publikationen
• 1.8: Software
• 1.10: Abschlussarbeiten
• 1.12: Bibliothek
• 1.13: Sammlung
• 1.14: FRIENT e.V.
• 1.15: Sitemap
• 1.16: English Pages

NMF-based Informed Source Separation

Christian Rohlfing, Julian M. Becker, Mathias Wien

Presented at the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 20-25 March 2016, Shanghai, China
Conference homepage

Abstract

Informed Source Separation (ISS) is a topic unifying the research fields of both source separation and source coding. Its main objective is to recover audio objects out of a mixture with a source separation step assisted by a set of compact parameters extracted with complete knowledge of the sources. ISS can be used for applications such as active listening and remixing of music (e.g. karaoke).

In this paper, we propose a new ISS method which includes a semi-blind source separation (SBSS) step in the ISS decoder to decrease the amount of parameter bit rate. SBSS is conducted by factorizing the mixture in time-frequency domain by nonnegative matrix factorization (NMF). The transmitted parameters consist of a compact NMF initialization as well as residuals calculated in the NMF domain. We show in simulations that using SBSS in the decoder increases the separation quality and that our scheme improves the rate-distortion performance in comparison to a state-of-the art method.

Paper

PDF

Poster

PDF

NOTICE FOR IEEE PUBLICATIONS: © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Contact: Manager, Copyrights and Permissions / IEEE Service Center / 445 Hoes Lane / P.O. Box 1331 / Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966.