arXiv Machine Learning By Robin Doerfler, Lonce Wyse

Analysis-Driven Procedural Generation of an Engine Sound Dataset with Embedded Control Annotations

Read the original on arXiv Machine Learning →

arXiv:2603. 07584v2 Announce Type: replace-cross Abstract: Computational engine sound modeling is central to the automotive audio industry, particularly for active sound design applications and virtual prototyping.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI
Jul 14

A Production-Oriented Framework for Evaluation of SFX Generation

arXiv:2607. 09973v1 Announce Type: cross Abstract: Industrial sound design requires audio generation systems that not only produce realistic audio, but also preserve the perceptual identity of a reference, support controllable variation, and remain efficient for practical workflows.

By M\'elodie Desbos, Yara Bahram, Eric Granger, Mohammadhadi Shateri