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20232026
most citedForensic deepfake audio detection using segmental speech features

13 citations · 19 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

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

JaeHyeong Chang, Chengzhe Sun, Siwei Lyu

We investigate whether AI-generated impulsive sounds can be distinguished from real ones through group delay analysis. Our central finding is that AI-generated impulsive sounds sho…

cs.SD2026

Acoustic and perceptual differences between standard and accented speech and their voice clones

Tianle Yang, Chengzhe Sun, Phil Rose +1

Voice cloning is often evaluated in terms of overall quality, but less is known about accent preservation and its perceptual consequences. We compare standard and heavily accented…

cs.SD2025★ 13 cited

Forensic deepfake audio detection using segmental speech features

Tianle Yang, Chengzhe Sun, Siwei Lyu +1

This study explores the potential of using acoustic features of segmental speech sounds to detect deepfake audio. These features are highly interpretable because of their close rel…

cs.SD2023★ 4 cited

AI-Synthesized Voice Detection Using Neural Vocoder Artifacts

Chengzhe Sun, Shan Jia, Shuwei Hou +1

Advancements in AI-synthesized human voices have created a growing threat of impersonation and disinformation, making it crucial to develop methods to detect synthetic human voices…

cs.SD2023

Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts

Chengzhe Sun, Shan Jia, Shuwei Hou +2

The advancements of AI-synthesized human voices have introduced a growing threat of impersonation and disinformation. It is therefore of practical importance to developdetection me…