arXiv:2603.09391v2 Announce Type: replace-cross Abstract: Engine sounds originate from sequential exhaust pressure pulses rather than sustained harmonic oscillations. While neural synthesis methods typically aim to approximate the resulting spectral characteristics, we propose directly modeling the underlying pulse shapes and temporal structure. We present the Pulse-Train-Resonator (PTR) model, a differentiable synthesis architecture that generates engine audio as parameterized pulse trains aligned to engine firing patterns and propagates them through recursive Karplus-Strong resonators simula
The continuous improvement in AI models and computational power enables more granular and physics-informed approaches to complex audio synthesis, moving beyond mere spectral approximation.
This development represents a significant step towards highly realistic and expressive synthetic audio generation, with broad implications for entertainment, simulation, and real-world sound design.
Engine sound modeling shifts from approximating spectral characteristics to directly simulating underlying physical pulse shapes and temporal structures, leading to more authentic and dynamic audio.
- · Gaming industry
- · Automotive industry (simulators, design)
- · AI audio synthesis developers
- · Virtual reality/Augmented reality
- · Traditional sound design studios (if they don't adapt)
- · Less sophisticated audio synthesis methods
More realistic virtual vehicle environments and immersive gaming experiences become possible.
This methodology could extend to other complex sound generation, improving virtual environments and accessibility tools requiring high-fidelity audio.
The ability to simulate and predict complex real-world sounds with high fidelity could impact industrial design, predictive maintenance, and even forensic analysis.
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Read at arXiv cs.AI