EUSIPCO 2026 — 34th European Signal Processing Conference — Bruges, Belgium — Aug 31 – Sep 4, 2026

Physics-Informed Neural Engine Sound Modeling with Differentiable Pulse-Train Synthesis

Robin Doerfler1 · Lonce Wyse2
1Audio Research & Development, Impulse Audio Lab GmbH, Munich, Germany  ·  2Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain
Figure 1 — Model Overview
PTR model overview diagram

Control features (RPM, torque) and their deltas are temporally embedded via MLP blocks and GRU. Outputs are decoded into synth parameters through MLP blocks, converted to parameter ranges by specialized heads (Pulse, Noise), upsampled to audio rate and scaled by conditioning signals. Audio is synthesized via differentiable modules with parameter updates calculated from multi-resolution spectral and harmonic losses.

Audio Examples

Three conditions are compared: Target — ground-truth engine recordings; HPN — harmonic-plus-noise baseline (same encoder–decoder structure but standard harmonic plus noise synthesis); and PTR (ours) — the proposed Pulse-Train-Resonator model. Spectrograms are shown as visual reference. Click ▶ to play, or click the waveform to seek.