dtu-act / ownaura Goto Github PK

TODO:

• Is final VR project the "backup" or "original". VR Unity Project is "backup"?

This repository provides the implementation of an own-voice auralization system implememented at DTU's audio-visual immersion lab as presented at ICA2022.

The Python scripts, MAX patches and Unity project have been tested on Windows only.

Paper:

Find it here.

Large files:

Download the VR Unity project, Odeon simulation files and actually used convolutional filters from the release page.

License:

MIT -- see the file LICENSE for details.

Repo is structured as follows:

.
├── Documentation                       # [building the userguide]
├── libownaura                          # [python main scripts]
├── Lora filters                        # [store Lora output here]
├── MAX                                 # [Max patches]
├── Room acoustic parameter measurement # [scripts for measuring effective acoustic parameters]
...

Create a virtual environment with conda and activate it:

conda env create -f environment.yml
conda activate ownaura

Download the large files from release page:

python download_files.py

Now read the userguide. Enjoy!

If you found this codebase useful in your research, please cite:

@inproceedings{wistbackaVocalComfort2022,
   author       = "Wistbacka Oehlund, Greta and Heuchel, Franz M. and LYBERG AAHLANDER, Viveka and MAARTENSSON, Johan and SAHLEN, Birgitta and Brunskog, Jonas",
   title        = "Vocal comfort in simulated room acoustic environments – experimental set-up and protocol development",
   booktitle    = "Proceedings of the 24th International Congress on Acoustics",
   year         = "2022",
   pages        = "1-11",
}