Acoular Workshop – DAS | DAGA 2025

Official collection of Jupyter notebooks, presented at the DAS|DAGA 2025 conference during the session:

Acoular Workshop: Accessible and Reproducible Microphone Array Signal Processing with Python

Session details: DAS|DAGA 2025

Schedule

08:40 Accessible and Reproducible Microphone Array Signal Processing with Python
09:00 Getting Started with Acoular
09:20 Generating Synthetic Sound Pressure Time Datasets of Multicopter Drone Fly-bys
09:40 Beamforming in the Time Domain with Moving Sources
10:00 Coffee Break
10:20 An Interactive Tutorial on Advanced Microphone Array Methods for Acoustic Source Mapping
10:40 Modelling Flow Environments for the Correction of Aeroacoustic Microphone Array Measurements
11:00 Acoustic Data Acquisition and Processing in Python using a MEMS Microphone Array
11:20 Comparison of Embedded Hardware Platforms for Optimized Machine Learning-Based Acoustic Imaging

Installation with conda, mamba or micromamba:

install dependencies including nbclassic to use the classic notebook interface

conda env create -f env.yml

if you require an explicit installation including builds, use the following command:

conda env create -f env_explicit.yml

Run the notebooks (from the repository root):

conda run -n acoular-workshop-das-daga-25 jupyter nbclassic

Name		Name	Last commit message	Last commit date
Latest commit History 108 Commits
grid		grid
img		img
mic		mic
wav		wav
.gitignore		.gitignore
00_Acoular_Accessible_Reproducible.ipynb		00_Acoular_Accessible_Reproducible.ipynb
01_Getting_Started_with_Acoular.ipynb		01_Getting_Started_with_Acoular.ipynb
02_Acoular_Drone_flyby_simulation.ipynb		02_Acoular_Drone_flyby_simulation.ipynb
03_Beamforming_in_the_time_domain_with_moving_sources.ipynb		03_Beamforming_in_the_time_domain_with_moving_sources.ipynb
04_An_Interactive_Tutorial_on_Advanced_Microphone_Array_Methods_for_Acoustic_Source_Mapping.ipynb		04_An_Interactive_Tutorial_on_Advanced_Microphone_Array_Methods_for_Acoustic_Source_Mapping.ipynb
05_Modelling_flow_environments_for_the_correction_of_aeroacoustic_microphone_array_measurements.ipynb		05_Modelling_flow_environments_for_the_correction_of_aeroacoustic_microphone_array_measurements.ipynb
06_Acoustic_Data_Acquisition_and_Processing_using_a_MEMS_Microphone_Array.ipynb		06_Acoustic_Data_Acquisition_and_Processing_using_a_MEMS_Microphone_Array.ipynb
07_Comparison of Embedded Hardware Platforms for Optimized Machine Learning-Based Acoustic Imaging.pdf		07_Comparison of Embedded Hardware Platforms for Optimized Machine Learning-Based Acoustic Imaging.pdf
CITATION.cff		CITATION.cff
LICENSE		LICENSE
README.md		README.md
custom.css		custom.css
env.yml		env.yml
env_explicit.yml		env_explicit.yml