13 citations · 19 across the 14 of their papers we have counts for
14 papers
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…
Directional Contextual Representations for Dependency Relations: Why Cross-Direction Pairing Fails
Sai Krishna Arthanari, JaeHyeong Chang, Chengzhe Sun +1
Splitting a bidirectional LSTM's contextual representation into a forward-only (strictly a function of tokens ) and a backward-only (strictly a function of tokens…
Sparse Token Routing in Efficient Transformers
Sai Krishna Arthanari, JaeHyeong Chang, Chengzhe Sun +1
Efficient-transformer research often motivates token pruning and adaptive computation with the claim that not all tokens require equal computational effort. We test this claim end…
The Voiceprint Fallacy: Why Voices Are Not Unique Biometric Imprints
Tianle Yang, Cuiling Zhang, Chengzhe Sun +2
In recent years, the term voiceprint has regained attention, particularly in technological applications and policy-making contexts, often carrying the assumption that a person's vo…
A survey of AI-generated voices and their detection
Chengzhe Sun, Tianle Yang, Siwei Lyu
The ability of artificial intelligence (AI) models to generate highly realistic human voices has advanced rapidly. These technologies power accessibility tools, virtual assistants…
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…
Assessing the Ability of Neural TTS Systems to Model Consonant-Induced F0 Perturbation
Tianle Yang, Chengzhe Sun, Phil Rose +2
This study proposes a segmental-level prosodic probing framework to evaluate neural TTS models' ability to reproduce consonant-induced f0 perturbation, a fine-grained segmental-pro…
DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
Kangran Zhao, Yupeng Chen, Xiaoyu Zhang +8
The misuse of advanced generative AI models has resulted in the widespread proliferation of falsified data, particularly forged human-centric audiovisual content, which poses subst…
PIA: Deepfake Detection Using Phoneme-Temporal and Identity-Dynamic Analysis
Soumyya Kanti Datta, Tanvi Ranga, Chengzhe Sun +1
The rise of manipulated media has made deepfakes a particularly insidious threat, involving various generative manipulations such as lip-sync modifications, face-swaps, and avatar-…
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…
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
Xin Wang, Héctor Delgado, Hemlata Tak +26
ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks as well as the design of detection solutions. We introduce…
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
Yan Ju, Chengzhe Sun, Shan Jia +7
Deepfakes, as AI-generated media, have increasingly threatened media integrity and personal privacy with realistic yet fake digital content. In this work, we introduce an open-sour…
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…
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…