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S. Kraft, and U. Zölzer, "Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing," Paper 9586, (2016 May.). doi: S. Kraft, and U. Zölzer, "Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing," Paper 9586, (2016 May.). doi:
Abstract: In this paper we present a general low-complexity stereo signal decomposition approach. Based on a common stereo signal model, the panning coefficients and azimuth positions of the sources in a stereo mix are estimated. In a next step, this information is used to separate direct and ambient signal components. The simple algorithm can be implemented at low computational cost and its application in a stereo to 3D upmix context is described. Particular focus is put on the generation of additional ambient channels by using decorrelation filters in a tree structure. Finally, the separation performance is evaluated with several standard measures and compared to other algorithms.

@article{kraft2016low-complexity,
author={kraft, sebastian and zölzer, udo},
journal={journal of the audio engineering society},
title={low-complexity stereo signal decomposition and source separation for application in stereo to 3d upmixing},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},} @article{kraft2016low-complexity,
author={kraft, sebastian and zölzer, udo},
journal={journal of the audio engineering society},
title={low-complexity stereo signal decomposition and source separation for application in stereo to 3d upmixing},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={in this paper we present a general low-complexity stereo signal decomposition approach. based on a common stereo signal model, the panning coefficients and azimuth positions of the sources in a stereo mix are estimated. in a next step, this information is used to separate direct and ambient signal components. the simple algorithm can be implemented at low computational cost and its application in a stereo to 3d upmix context is described. particular focus is put on the generation of additional ambient channels by using decorrelation filters in a tree structure. finally, the separation performance is evaluated with several standard measures and compared to other algorithms.},}

TY - paper
TI - Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing
SP - EP -
AU - Kraft, Sebastian
AU - Zölzer, Udo
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016 TY - paper
TI - Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing
SP - EP -
AU - Kraft, Sebastian
AU - Zölzer, Udo
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016
AB - In this paper we present a general low-complexity stereo signal decomposition approach. Based on a common stereo signal model, the panning coefficients and azimuth positions of the sources in a stereo mix are estimated. In a next step, this information is used to separate direct and ambient signal components. The simple algorithm can be implemented at low computational cost and its application in a stereo to 3D upmix context is described. Particular focus is put on the generation of additional ambient channels by using decorrelation filters in a tree structure. Finally, the separation performance is evaluated with several standard measures and compared to other algorithms.