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A groundbreaking multimodal dataset that captures the complexities of speech and non-verbal communication across diverse medical conditions, paving the way for more nuanced AI analyses.
Masked multimodal integration can reduce word error rates in silent speech synthesis by up to 14 percentage points, offering a robust solution for real-world applications.