adku1173/acoupipe repository overview

AcouPipe is an easy-to-use Python toolbox for generating unique acoustical source localization and characterization data sets with Acoular⁠ that can be used for training of deep neural networks and machine learning. Instead of raw time-data, only the necessary input features for acoustical beamforming are stored, which include:

• Cross-Spectral Matrix / non-redundant Cross-Spectral Matrix
• Conventional Beamforming Map

This allows the user to create data sets of manageable size that are portable and facilitate reproducible research.

AcouPipe supports distributed computation with Ray⁠ and comes with a default configuration data set inside a pre-built Docker container that can be downloaded from DockerHub.