Acoustic_Spatialvisualizer

Description

The Acoustic Spatial-Visualizer can generate spatial audio and visualize its moving track.

The spatializer can spatialize mono audio with continuous trajectory in 3D space given RIRs in different locations.

The visualizer uses APGD algorithm to takes in a 32-channel spatialized audio and outputs an energy map of azimuth and elevation every 100ms.

Setup

Run pip install -r requirements.txt

Spatialize

1. Set up path_to_irs and IRS in spatialization.py
2. Set up paths to read and write audio files
3. Run python3 spatialization.py

Visualize

1. This script is based on the application of this repo.
2. Download the submodule using git clone https://github.com/adrianSRoman/DeepWaveTorch
3. Set up current working directory to DeepWaveTorch in visualization.py
4. Set up file_path as the input audio file location and output folder in the end of the script
5. Set up N_max_frames as the number of frames to visualize (100ms per frame)
6. Run python3 visualization.py
7. Check out the images generated in the output map and generate .gif file of them using convert -delay 20 -loop 0 $(ls -1 viz_output/*.jpg | sort -V) animated.gif