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arXiv AI By JaeHyeong Chang, Chengzhe Sun, Siwei Lyu

Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds

Read the original on arXiv AI →

The study explores whether AI‑generated impulsive sounds can be distinguished from real sounds using group delay analysis. It finds that while onset‑region group‑delay distributions are nearly identical, the decay‑region shows a significant divergence (KL = 0.322 vs. 0.022). Various classifiers—single‑feature AUC ≈ 0.720, Random Forest AUC ≈ 0.884, and CNN/transformer models achieving up to 94% accuracy—demonstrate that decay‑region group delay provides strong discriminative power, with Random Forest remaining stable across different STFT settings.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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