trungdev/procedural-engine-sounds
Procedural Engine Sounds Dataset Dataset Description The Procedural Engine Sounds Dataset is a comprehensive collection of synthetically generated and annotated engine audio samples. This dataset contains procedurally generated high-resolution engine sounds free of confounding noises, with detailed time-aligned annotations, designed for research in audio processing, vehicle acoustics, and synthetic sound generation. Associated Publication The… See the full description on the dataset page: https://huggingface.co/datasets/trungdev/procedural-engine-sounds.
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1cff-version: 1.2.02message: "If you use this dataset, please cite it as below."3type: dataset4title: "Procedural Engine Sounds Dataset"5authors:6 - family-names: "Doerfler"7 given-names: "Robin"8 orcid: "https://orcid.org/0009-0007-3904-1941"9doi: "10.5281/zenodo.16883336"10version: "1.0.0"11date-released: 2025-08-2112url: "https://doi.org/10.5281/zenodo.16883336"13repository-code: "https://zenodo.org/records/16883336"14license: "CC-BY-NC-4.0"15keywords:16 - "audio"17 - "engine sounds"18 - "procedural generation"19 - "automotive"20 - "sound synthesis"21 - "mechanical sounds"22 - "vehicle acoustics"23abstract: |24 The Procedural Engine Sounds Dataset is a comprehensive collection of 25 synthetically generated and annotated engine audio samples. This dataset 26 contains procedurally generated engine sounds with detailed annotations 27 encoded as 4-channel audio, designed for research in audio processing, 28 vehicle acoustics, and synthetic sound generation. The dataset includes 29 5,935 high resolution audio files (48 kHz, 16 bit) totalling ~19 hours 30 and 24.47 GB of content across 8 distinct sets, with RPM and torque 31 information embedded as continuous audio signals alongside stereo engine sounds.32preferred-citation:33 type: dataset34 title: "Procedural Engine Sounds Dataset"35 authors:36 - family-names: "Doerfler"37 given-names: "Robin"38 orcid: "https://orcid.org/0009-0007-3904-1941"39 year: 202540 publisher: "Zenodo"41 doi: "10.5281/zenodo.16883336"42 url: "https://doi.org/10.5281/zenodo.16883336"