FOAM 01: Acoustic Material
This dataset provides the data for Reference Merten Stender, Christian Adams, Mathies Wedler, Antje Grebel, and Nobert Hoffmann:Explainable machine learning determines effects on the sound absorption coefficientmeasured in the impedance tube. J. Acoust. Soc. Am. 149 (3), 2021 It consists of two csv...
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Zusammenfassung: | This dataset provides the data for Reference
Merten Stender, Christian Adams, Mathies Wedler, Antje Grebel, and Nobert Hoffmann:Explainable machine learning determines effects on the sound absorption coefficientmeasured in the impedance tube. J. Acoust. Soc. Am. 149 (3), 2021
It consists of two csv files:
alphas.csv: absorption coefficients vs. frequencies (comma-separated), 3079 rows accordingto 3079 measurements
targets.csv: one-hot encoded, i.e., binary, vectors of the parameter combinations), 3079rows according to 3079 measurements. The Read_Me.pdf gives further information on the one-hot encoded vectors.
The frequencies range from 269 Hz to 2191 Hz with resolution of 1 Hz. Note that these limits are notstrictly equal to the frequency limits of the impedance tube, see [1].
The data and code are licensed under Apache License, Version 2.0https://opensource.org/licenses/Apache-2.0
Any reuse of the data must properly cite [1] and its authors.
Contact:Univ.-Prof. Dr. Christian AdamsGraz University of TechnologyInffeldgasse 16c8010 Graz, Austriachristian.adams@tugraz.at |
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ISSN: | 1520-8524 |
DOI: | 10.5281/zenodo.10551343 |