10.5281/zenodo.2633830
https://zenodo.org/records/2633830
oai:zenodo.org:2633830
Fiete Winter
Fiete Winter
0000-0002-9454-4177
University of Rostock
Hagen Wierstorf
Hagen Wierstorf
audEERING GmbH
Matthias Geier
Matthias Geier
University of Rostock
Nara Hahn
Nara Hahn
University of Rostock
Frank Schultz
Frank Schultz
0000-0002-3010-0294
University of Rostock
Sascha Spors
Sascha Spors
0000-0001-7225-9992
University of Rostock
Open Source Sound Field Synthesis Toolbox -- Poster
Zenodo
2019
Sound Field Synthesis
Toolbox
MATLAB
Python
2019-04-09
eng
Poster
10.5281/zenodo.2597212
10.5281/zenodo.2633829
1.0.0
Other (Not Open)
This data set contains the poster for the contribution "Open Source Sound Field Synthesis Toolbox" presented at the 45th German Annual Conference on Acoustics (DAGA), 2019, Rostock, Germany.
Abstract of the Publication
Sound Field Synthesis (SFS) aims at production of wave fronts within a large target region enveloped by a massive number of loudspeakers. Nowadays, these techniques are known as Wave Field Synthesis (WFS) as an implicit solution of the SFS problem and as explicit solutions, like Ambisonics in the spherical domain and Spectral Division Method in the cartesian domain. Research and development on Ambisonics and WFS proceeded since the 1970s and the late 1980s, being most lively in the last decade due to DSP power available. This resulted in many SFS systems at research institutes with different rendering methods, thus complicating comparability and reproducibility. In order to pool the outcomes of different SFS approaches the Matlab/Octave based Sound Field Synthesis Toolbox was initiated 2010 as an open source project by the authors. This toolbox was later accompanied by online theoretical documentation giving an overview on the SFS approaches and citing the reference literature. In 2013 porting of the SFS Toolbox to Python was initiated, serving as convenient framework together with Jupyter notebooks. In this contribution we discuss and demonstrate the concepts, workflows and capabilities of the SFS Toolbox and their documentation as fundamental component for open research on SFS.