ReTiSAR

Implementation of the Real-Time Spherical Microphone Renderer for binaural reproduction in Python.

Requirements

  • macOS (tested on 10.14 Mojave and 10.15 Catalina) or Linux (tested on 5.9.1-1-rt19-MANJARO)
  • (Windows is not supported due to an incompatibility with the current multiprocessing implementation)
  • JACK library (prebuilt installers / binaries are available)
  • Conda installation (miniconda is sufficient; provides an easy way to get Intel MKL or alternatively OpenBLAS optimized numpy versions which is highly recommended)
  • Python installation (tested with 3.7 to 3.9; recommended way to get Python is to use Conda as described in the setup section)
  • Installation of the required Python packages (recommended way is to use Conda as described in the setup section)
  • Optional: Download of publicly available measurement data for alternative execution modes (always check the command line output or log files in case the rendering pipeline does not initialize successfully!)
  • Optional: Install an OSC client for real-time feedback and remote control options during runtime

Setup

  • Clone repository with command line or any other git client:

    git clone https://github.com/AppliedAcousticsChalmers/ReTiSAR.git
    • Alternative: Download and extract snapshot manually from provided URL (not recommended due to not being able to pull updates)
    • Alternative: Update your local copy with changes from the repository (if you have cloned it in the past):

      git pull
  • Navigate into the repository (the directory containing setup.py):

    cd ReTiSAR/
  • Install required Python packages i.e., Conda is recommended:
    • Make sure that Conda is up to date:

      conda update conda
    • Create new Conda environment from the specified requirements (--force to overwrite potentially existing outdated environment):

      conda env create --file environment.yml --force
    • Activate created Conda environment:

      source activate ReTiSAR

GitHub

https://github.com/AppliedAcousticsChalmers/ReTiSAR