Code: Explainable machine learning determines effects on the sound absorption coefficient measured in the impedance tube

by Merten Stender,Christian Adams, Mathies Wedler, Antje Grebel, Nobert Hoffmann Corresponding author: Merten Stender (m.stender@tuhh.de)

We share the code along our latest paper 'Explainable machine learning determines effects on the sound absorption coefficient measured in the impedance tube' submitted to The Journal of the Acoustical Society of America (Special Issue on Machine Learning) in 2020.

Please find the special issue here: https://asa.scitation.org/jas/info/specialissues/cfp_110120

We will link the paper as soon as it is published.