3 papers
cs.CV2025
Lightweight Wasserstein Audio-Visual Model for Unified Speech Enhancement and Separation
Jisoo Park, Seonghak Lee, Guisik Kim +2
Speech Enhancement (SE) and Speech Separation (SS) have traditionally been treated as distinct tasks in speech processing. However, real-world audio often involves both background…
cs.CV2025
RM: Real-Aware Residual Model Merging for Robust and Generalizable Deepfake Detection
Jinhee Park, Guisik Kim, Choongsang Cho +1
Deepfake generators evolve rapidly, making exhaustive data collection and repeated retraining impractical. Unlike generic multi-task settings, deepfake specialists share a common b…
eess.AS2025
Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection
Taewoo Kim, Guisik Kim, Choongsang Cho +1
Recent advances in speech deepfake detection (SDD) have significantly improved artifacts-based detection in spoofed speech. However, most models overlook speech naturalness, a cruc…