4 papers
Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs
Deeksha M. Shama, Dimitra Emmanouilidou, Ivan J. Tashev
Accurately monitoring cognitive load in real time is critical for Brain-Computer Interfaces (BCIs) that adapt to user engagement and support personalized learning. Electroencephalo…
Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model
Ali Vosoughi, Dimitra Emmanouilidou, Hannes Gamper
Integrating audio and visual data for training multimodal foundational models remains a challenge. The Audio-Video Vector Alignment (AVVA) framework addresses this by considering A…
SALAD-VAE: Semantic Audio Compression with Language-Audio Distillation
Sebastian Braun, Hannes Gamper, Dimitra Emmanouilidou
Modern generative and multimodal models increasingly rely on compact latent representations that trade and balance semantic richness with high-fidelity reconstruction. We introduce…
Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou +1
The complex nature of musical emotion introduces inherent bias in both recognition and generation, particularly when relying on a single audio encoder, emotion classifier, or evalu…