BAT-CLIP: Trimodal Alignment of Brain, Audio and Text

arXiv:2609.31180 · cs.SD, cs.AI, cs.LG, eess.AS · Submitted 2026-09-25 · Read on arXiv

cs.SD, cs.AI, cs.LG, eess.AS

Submitted: 2026-09-25

Updated: 2026-09-25

Comments: 6 pages, 2 figures. Accepted for oral presentation at the 2026 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2026)

Code: https://github.com/hassonlab/podcast-benchmar

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 49× in this paper · explained in 1 episode
• Embeddings — 17× in this paper · explained in 2 episodes
• AUC — 12× in this paper · explained in 2 episodes
• Foundation Model — 11× in this paper · explained in 3 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Clustering — 6× in this paper · explained in 2 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Linear Probing — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• International Conference on Learning Representations — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• National Research Foundation of Korea — 1× in this paper
• Scaling Laws — 1× in this paper · explained in 4 episodes

Sources

• NeuSpeech: Decode Neural signal as Speech
• DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations

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