Author

Kyudan Jung

Korea Advanced Institute of Science and Technology

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Preprint Sep 2026

Tracing and Relearning Detection Evidence in Text-to-Speech Systems

Recent audio deepfake detectors separate bona fide speech from synthetic speech, yet it remains unclear which stage of a text-to-speech system supplies the detection evidence. We address this with controlled resynthesis and detector adaptation in an F5-TTS-BigVGAN pipeline. Since vocoder reconstruction of a real mel ca...

Eunji Shin, Kyudan Jung, Jihwan Kim et al. · 0 citations

#artificial intelligence Mar 2026

SNAP: Speaker Nulling for Artifact Projection in Speech Deepfake Detection

SNAP, a speaker-nulling framework, is introduced that reduces speaker entanglement and encourages detectors to focus on artifact-related patterns, leading to state-of-the-art performance.

Kyudan Jung, Ji-Hoon Kim, Minwoo Lee et al. · arXiv.org · 0 citations

#natural language process... Mar 2026

OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models

OmniACBench, a benchmark for evaluating context-grounded acoustic control in omni-modal models, is introduced and three common failure modes are identified-weak direct control, failed implicit inference, and failed multimodal grounding-providing insights for developing models that can verbalize responses effectively.

Seunghee Kim, B. Park, Kyudan Jung et al. · arXiv.org · 1 citation