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

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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Hauptverfasser: Müller, Leon, Kropp, Wolfgang
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description 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
doi_str_mv 10.5281/zenodo.10610490
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identifier DOI: 10.5281/zenodo.10610490
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title Dataset: "Auralization of Electric Vehicles for the Perceptual Evaluation of Acoustic Vehicle Alerting Systems"
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