Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing

Kraft S, Zölzer U. Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing. In: AES Convention 140. Audio Engineering Society; 2016. Paper 9586. Available from: https://aes.org/publications/elibrary-page/?id=18284

@inproceedings{Kraft2016_18284,
  author = {Kraft, Sebastian and Zölzer, Udo},
  title = {{Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing}},
  booktitle = {AES Convention 140},
  note = {Paper 9586},
  year = {2016},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18284}
}

TY  - CPAPER
TI  - Low-Complexity Stereo Signal Decomposition and Source Separation for Application in Stereo to 3D Upmixing
AU  - Kraft, Sebastian
AU  - Zölzer, Udo
T2  - AES Convention 140
M1  - Paper 9586
PY  - 2016
DA  - 2016/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18284
PB  - Audio Engineering Society
LA  - en
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.
ER  -