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Analysis-Driven Procedural Generation of an Engine Sound Dataset with Embedded Control Annotations
Computational engine sound modeling is central to the automotive audio industry, particularly for active sound design applications and virtual prototyping. Emerging data-driven engine sound synthesis methods require large volumes of standardized, clean audio recordings with precisely time-aligned op
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