MultimodalXplain
Interpreting Multimodal Deep Learning Models
About
MultimodalXplain is a research-driven initiative focused on understanding and interpreting deep learning models that process different input modalities such as - speech, speech+text and speech+text+vision jointly. As AI models grow in complexity, the need for transparency, interpretability, and trust becomes critical—especially in sensitive domains such as education, healthcare, and accessibility.