Wonje Heo

These results demonstrate that traditional codec traces persist even after neural transcoding, supporting the feasibility and necessity of neural-codec-aware audio forensics and proposing a Transformer-based framework designed to leverage the hierarchical and temporal dependencies inherent in RVQ sequences.

LLMs can now provide interpretable anomaly diagnoses in industrial control systems by translating detection evidence into actionable hypotheses for operators.