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https://github.com/alexanderbertrandlab/linear-stimulus-reconstruction-aad-av-gc-aad-dataset

All MATLAB code to reproduce experiments and results that show that linear stimulus reconstruction for AAD works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding (AV-GC-AAD) dataset

https://github.com/alexanderbertrandlab/linear-stimulus-reconstruction-aad-av-gc-aad-dataset

Science Score: 36.0%

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All MATLAB code to reproduce experiments and results that show that linear stimulus reconstruction for AAD works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding (AV-GC-AAD) dataset

Basic Info
  • Host: GitHub
  • Owner: AlexanderBertrandLab
  • License: other
  • Language: MATLAB
  • Default Branch: main
  • Size: 25.4 KB
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Readme License

README.md

Linear stimulus reconstruction for auditory attention decoding on the AV-GC-AAD dataset

License

See the LICENSE file for license rights and limitations. By downloading and/or installing this software and associated files on your computing system you agree to use the software under the terms and condition as specified in the License agreement.

If this code has been useful for you, please cite 1 and 2.

About

This repository includes the MATLAB-code to reproduce all experiments and results of the linear stimulus reconstruction approach for auditory attention decoding (AAD) on the publicly available KU Leuven audiovisual, gaze-controlled AAD (AV-GC-AAD) dataset [2], as presented in Geirnaert et al. [1].

The steps to reproduce the results: 1. Download the AV-GC-AAD dataset from Zenodo. 2. Fill in the correct data path to the dataset in the parameter settings of mainSubjectSpecific.m (for subject-specific decoding) and mainSubjectIndependent.m (for subject-independent decoding).

Developed and tested in MATLAB R2021b.

Note: Tensorlab is required (https://www.tensorlab.net/).

Contact

Simon Geirnaert
KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics
KU Leuven, Department of Neurosciences, Research Group ExpORL
Leuven.AI - KU Leuven institute for AI
simon.geirnaert@esat.kuleuven.be

Alexander Bertrand KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics
Leuven.AI - KU Leuven institute for AI
alexander.bertrand@esat.kuleuven.be

## References

[1] S. Geirnaert, I. Rotaru, T. Francart and A. Bertrand, "Linear stimulus reconstruction works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding dataset," arXiv, 2024, doi.org/10.48550/arXiv.2412.01401.

[2] I. Rotaru, S. Geirnaert, T. Francart and A. Bertrand, "Audiovisual, Gaze-controlled Auditory Attention Decoding Dataset KU Leuven (AV-GC-AAD)", Zenodo, 2024, doi.org/10.5281/zenodo.11058711. [dataset]

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  • Login: AlexanderBertrandLab
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