MOV-AAD: A Large-Scale Multimodal Dataset for Auditory Attention Decoding During Moving Conversations
Auditory attention decoding (AAD) is often evaluated on static, simplified speech scenes that poorly match everyday listening. We introduce MOV-AAD, a large-scale dataset for studying auditory attention under moving, naturalistic conversations. MOV-AAD combines 64-channel EEG with synchronized physiological recordings,...