Dataset: "Auralization of Electric Vehicles for the Perceptual Evaluation of Acoustic Vehicle Alerting Systems"

<p>This repository contains audio examples and measurement data accompanying the paper:&nbsp;</p> <blockquote> <p>M&uuml;ller L. &amp; Kropp W. 2024. Auralization of electric vehicles for the perceptual evaluation of acoustic vehicle alerting systems. Acta Acustica, 8, 27.&nbsp;https://doi.org/10.1051/aacus/2024025</p> </blockquote> <p>The Matlab code for the corresponding auralization model can be found at:&nbsp;<a href="https://github.com/leonpaulmueller/evat" target="_blank" rel="noopener">https://github.com/leonpaulmueller/evat</a></p> <p>&nbsp;</p> <p><strong>Content</strong></p> <ul> <li><code>audio_examples.zip</code> <ul> <li>avas - Measured and synthesized AVAS source signals</li> <li>passby - Measured and auralized binaural EV passages at roadside observer position. The generated signals use the same vehicle velocity as the corresponding measurements.</li> <li>tire - Measured and synthesized tire/road noise source signals</li> </ul> </li> <li><code>measurements.zip</code> <ul> <li>ambience - binaural ambience measurements</li> <li>avas - AVAS source signal measurements</li> <li>passby - Binaural pass-by measurements, including velocity data and isolated AVAS and tire/road noise signals</li> <li>tires - tire/road noise measurements</li> </ul> </li> </ul> <p>&nbsp;</p> <p>For consistency with the paper, we use the following aliases for the three evaluated vehicles:</p> <ul> <li>Vehicle A: Tesla Model Y 2021</li> <li>Vehicle B: Volkswagen ID.3 Pro Performance 2021</li> <li>Vehicle C: Nissan Leaf 2018</li> </ul>