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Paper on physics-informed neural engine sound modeling

Arxiv CS.SD (Sound/Audio ML)

The paper proposes modeling engine sounds directly from exhaust pressure pulses using differentiable pulse-train synthesis rather than spectral approximations. The physics-informed approach aims to improve realism in neural audio synthesis for engine sound design.

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7 days ago
Paper on physics-informed neural engine sound modeling — AIBriefs