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The central aim is to explore multimodal approaches for decoding tonal speech in BCI applications.

SACM: SEEG-Audio Contrastive Matching for Chinese Speech Decoding

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The central aim is to explore multimodal approaches for decoding tonal speech in BCI applications.
Development of a novel SEEG-audio contrastive matching framework.
Integration of multimodal signals for decoding tonal speech.
Evaluation of performance in brain-computer interface applications.
Establishment of a foundational approach for tonal speech decoding using multimodal data.
Significant advances in the accuracy of BCI communication methods.

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This work demonstrates multimodal decoding for tonal speech in brain-computer interfaces, suggesting new pathways for communication methods.

To our knowledge, this is the first work on multimodal decoding for tonal speech BCIs.

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Wang et al. (2026) studied this question.

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This work demonstrates multimodal decoding for tonal speech in brain-computer interfaces, suggesting new pathways for communication methods.

To our knowledge, this is the first work on multimodal decoding for tonal speech BCIs.