English

PathRIR: Physics-Guided Acoustic Path Selection and Late-Tail Compensation for Fast Room Impulse Response Simulation

Audio and Speech Processing 2026-07-25 v1 Machine Learning Sound

Abstract

Image-source-method (ISM)-based room impulse response (RIR) simulation is a useful and physically interpretable tool for acoustic scene modeling, but full-order ISM becomes computationally expensive as the reflection order and room complexity increase. We propose a physics-guided framework for fast RIR simulation that preserves the geometric structure of ISM while learning to retain only acoustically important image-source paths during online traversal. To recover energy removed by pruning, the proposed PathRIR uses a lightweight compensation multilayer perceptron to predict the missing late-tail energy envelope and generate a compensation tail whose energy follows that envelope. Experiments on irregular 3D rooms show that PathRIR reduces image-source computation and improves runtime efficiency over a full-order ISM simulator, while achieving low waveform- and decay-related errors. Ablation results show that adding the compensation tail improves waveform fidelity and reduces energy-decay-curve error, reverberation-time error, and direct-to-reverberant-ratio error, with modest runtime overhead.

Cite

@article{arxiv.2607.23293,
  title  = {PathRIR: Physics-Guided Acoustic Path Selection and Late-Tail Compensation for Fast Room Impulse Response Simulation},
  author = {Shaoheng Xu and Chunyi Sun and Jihui Zhang and Amy Bastine and Prasanga N. Samarasinghe and Thushara D. Abhayapala},
  journal= {arXiv preprint arXiv:2607.23293},
  year   = {2026}
}

Comments

Accepted for publication in the Proceedings of the 19th International Workshop on Acoustic Signal Enhancement (IWAENC 2026). Project page: https://github.com/ShaoHenry/PathRIR