ASPCOL : Audio Signal Processing COLlection

ASPCOL is a collection of functions and classes for audio signal processing, with routines for state-of-the-art sound field estimation and sound field reproduction methods. Some examples include

• Kernel interpolation for sound fields
• Bayesian estimation of sound fields using spherical harmonics, both for stationary and moving microphones
• Sound zone control with signal-to-interference-plus-noise ratio optimization
• Spatial covariance estimation for sound field reproduction using kernel ridge regression

More info and complete API documentation

Installation

The package can be installed via pip by running

pip install aspcol

Alternatively, the package can be installed by cloning the repository and running

pip install path/to/aspcol

Contents

Sound field estimation

The content is contained in the modules

• kernelinterpolation
• movingmicrophones
• planewaves
• soundfieldestimation
• sphericalharmonics

Sound field reproduction

The content is contained in the modules

• soundfieldcontrol

References

The package was developed in the course of the following research. Please consider citing any of the following papers if relevant to your work.

Bayesian sound field estimation using moving microphones, J. Brunnström, M. B. Møller, and M. Moonen

@ARTICLE{brunnstromBayesian2025,
  author={Brunnström, Jesper and møLler, Martin Bo and Moonen, Marc},
  journal={IEEE Open Journal of Signal Processing}, 
  title={Bayesian Sound Field Estimation Using Moving Microphones}, 
  year={2025},
  volume={6},
  number={},
  pages={312-322},
  doi={10.1109/OJSP.2025.3526546}
}

Bayesian sound field estimation using uncertain data, J. Brunnström, M. B. Møller, J. Østergaard, and M. Moonen

@inproceedings{brunnstromBayesian2024,
    title = {Bayesian Sound Field Estimation Using Uncertain Data},
    author = {Brunnstr{\"o}m, Jesper and M{\o}ller, Martin Bo and {\O}stergaard, Jan and Moonen, Marc},
    year = {2024},
    month = sep,
    langid = {english},
    booktitle = {Proc. Int. Workshop Acoust. Signal Enhancement (IWAENC).},
}

Sound zone control for arbitrary sound field reproduction methods, J. Brunnström, T. van Waterschoot, and M. Moonen

@inproceedings{brunnstromSound2023,
    title = {Sound Zone Control for Arbitrary Sound Field Reproduction Methods},
    author = {Brunnstr{\"o}m, Jesper and van Waterschoot, Toon and Moonen, Marc},
    year = {2023},
    month = sep,
    doi = {10.23919/EUSIPCO58844.2023.10289995},
    booktitle = {Proc. European Signal Process. Conf. (EUSIPCO),},
}

Signal-to-interference-plus-noise ratio based optimization for sound zone control, J. Brunnström, T. van Waterschoot, and M. Moonen

@article{brunnstromSignaltointerferenceplusnoise2023,
    title = {Signal-to-Interference-plus-Noise Ratio Based Optimization for Sound Zone Control},
    author = {Brunnstr{\"o}m, Jesper and {van Waterschoot}, Toon and Moonen, Marc},
    year = {2023},
    journal = {IEEE Open J. Signal Process.},
    volume = {4},
    pages = {257--266},
    issn = {2644-1322},
    doi = {10.1109/OJSP.2023.3246398},
}

Variable span trade-off filter for sound zone control with kernel interpolation weighting, J. Brunnström, S. Koyama, and M. Moonen

@inproceedings{brunnstromVariable2022,
    title = {Variable Span Trade-off Filter for Sound Zone Control with Kernel Interpolation Weighting},
    author = {Brunnstr{\"o}m, Jesper and Koyama, Shoichi and Moonen, Marc},
    year = {2022},
    month = may,
    pages = {1071--1075},
    issn = {2379-190X},
    doi = {10.1109/ICASSP43922.2022.9746550},
    booktitle = {Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP)},
}

License

The software is distributed under the MIT license. See the LICENSE file for more information.

Acknowledgements

The software has been developed during a PhD project as part of the SOUNDS ETN at KU Leuven. The SOUNDS project has recieved funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 956369.