MAJIC reports 93% accuracy and 91% F1 on emotion classification by fusing articulatory motion features with audio via multi-task learning, tested on 20 participants across 10 languages and prompted/conversational speech.
Tramba: A hybrid transformer and mamba architecture for practical audio and bone conduction speech super resolution and enhancement on mobile and wearable platforms,
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MAJIC: Leveraging Articulatory Motion for Speech-based Emotion Recognition
MAJIC reports 93% accuracy and 91% F1 on emotion classification by fusing articulatory motion features with audio via multi-task learning, tested on 20 participants across 10 languages and prompted/conversational speech.