On the SW1 challenge dataset, weighted attention fusion with acoustic, linguistic, and handcrafted features achieved the best test accuracy (56%), but all systems remained near chance.
Embeddings The choice of embeddings significantly influenced classifica- tion performance, with each modality contributing complemen- tary information to the SR assessment task
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Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset
On the SW1 challenge dataset, weighted attention fusion with acoustic, linguistic, and handcrafted features achieved the best test accuracy (56%), but all systems remained near chance.