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Author

Xiao-Min He

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Preprint Oct 2026

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,...

Xiao-Min He, Vishal Choudhari, Tristan J. Spratt et al. · 0 citations
#computer vision Jan 2026

AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking

AVMeme Exam, a human-curated benchmark of over one thousand iconic Internet sounds and videos spanning speech, songs, music, and sound effects, is introduced, showing current models perform poorly on textless music and sound effects, and struggle to think in context and in culture compared to surface content.

Xi-Lin Jiang, Qiao-Lin Wang, Junkai Wu et al. · 4 citations

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