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Electric vehicle sound stimuli data and enhancements
Data for six electric vehicle WOT interior sound measurements and eight enhanced sound signatures are presented. The measurement of electric vehicle interior sound signature data and the enhancement of these stimuli are documented in this data article. The procedures and equipment that were used to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230979/ https://www.ncbi.nlm.nih.gov/pubmed/30456255 http://dx.doi.org/10.1016/j.dib.2018.10.074 |
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author | Swart, D.J. Bekker, A. Bienert, J. |
author_facet | Swart, D.J. Bekker, A. Bienert, J. |
author_sort | Swart, D.J. |
collection | PubMed |
description | Data for six electric vehicle WOT interior sound measurements and eight enhanced sound signatures are presented. The measurement of electric vehicle interior sound signature data and the enhancement of these stimuli are documented in this data article. The procedures and equipment that were used to record the data, as well as the transposition, harmony and order addition, frequency filtering and modulation enhancement techniques that were applied to these stimuli are explained in detail. The transient frequency content of the 12 sound stimuli is presented in acoustic spectrograms along with the audio files in.mp3 format. |
format | Online Article Text |
id | pubmed-6230979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62309792018-11-19 Electric vehicle sound stimuli data and enhancements Swart, D.J. Bekker, A. Bienert, J. Data Brief Engineering Data for six electric vehicle WOT interior sound measurements and eight enhanced sound signatures are presented. The measurement of electric vehicle interior sound signature data and the enhancement of these stimuli are documented in this data article. The procedures and equipment that were used to record the data, as well as the transposition, harmony and order addition, frequency filtering and modulation enhancement techniques that were applied to these stimuli are explained in detail. The transient frequency content of the 12 sound stimuli is presented in acoustic spectrograms along with the audio files in.mp3 format. Elsevier 2018-11-02 /pmc/articles/PMC6230979/ /pubmed/30456255 http://dx.doi.org/10.1016/j.dib.2018.10.074 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Swart, D.J. Bekker, A. Bienert, J. Electric vehicle sound stimuli data and enhancements |
title | Electric vehicle sound stimuli data and enhancements |
title_full | Electric vehicle sound stimuli data and enhancements |
title_fullStr | Electric vehicle sound stimuli data and enhancements |
title_full_unstemmed | Electric vehicle sound stimuli data and enhancements |
title_short | Electric vehicle sound stimuli data and enhancements |
title_sort | electric vehicle sound stimuli data and enhancements |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230979/ https://www.ncbi.nlm.nih.gov/pubmed/30456255 http://dx.doi.org/10.1016/j.dib.2018.10.074 |
work_keys_str_mv | AT swartdj electricvehiclesoundstimulidataandenhancements AT bekkera electricvehiclesoundstimulidataandenhancements AT bienertj electricvehiclesoundstimulidataandenhancements |