BAT-CLIP: Trimodal Alignment of Brain, Audio and Text
Decoding and interpreting naturalistic speech from the brain increasingly relies on alignment to pretrained speech and language representation spaces. However, current CLIP-style brain-speech alignment ground neural activity to a single anchor modality-audio or text-despite the brain's inherently multimodal speech processing. This induces a trade-off: audio anchoring preserves temporal structure but weakens linguistic separability, while text anchoring captures semantics yet discards acoustic detail. We propose BAT-CLIP, the first CLIP-style trimodal alignment framework for iEEG that jointly aligns neural embeddings to both pretrained audio and text anchors in a shared, frozen audio-text ...
| Authors | Suhyun Kim, Jinmo Han, Danny Dongyeop Han et al. |
|---|---|
| Primary category | cs.SD |
| Published | 25 September 2026 |
| Last updated at source | 25 September 2026 |
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