Dataset: "Auralization of Electric Vehicles for the Perceptual Evaluation of Acoustic Vehicle Alerting Systems"
This repository contains audio examples and measurement data accompanying the paper: Müller L. & Kropp W. 2024. Auralization of electric vehicles for the perceptual evaluation of acoustic vehicle alerting systems. Acta Acustica, 8, 27. https://doi.org/10.1051/aacus/2024025 The Matlab code for t...
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Sprache: | eng |
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Zusammenfassung: | This repository contains audio examples and measurement data accompanying the paper:
Müller L. & Kropp W. 2024. Auralization of electric vehicles for the perceptual evaluation of acoustic vehicle alerting systems. Acta Acustica, 8, 27. https://doi.org/10.1051/aacus/2024025
The Matlab code for the corresponding auralization model can be found at: https://github.com/leonpaulmueller/evat
Content
audio_examples.zip
avas - Measured and synthesized AVAS source signals
passby - Measured and auralized binaural EV passages at roadside observer position. The generated signals use the same vehicle velocity as the corresponding measurements.
tire - Measured and synthesized tire/road noise source signals
measurements.zip
ambience - binaural ambience measurements
avas - AVAS source signal measurements
passby - Binaural pass-by measurements, including velocity data and isolated AVAS and tire/road noise signals
tires - tire/road noise measurements
For consistency with the paper, we use the following aliases for the three evaluated vehicles:
Vehicle A: Tesla Model Y 2021
Vehicle B: Volkswagen ID.3 Pro Performance 2021
Vehicle C: Nissan Leaf 2018 |
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DOI: | 10.5281/zenodo.10610490 |