RBA-FE, a hybrid CNN-attention-BiLSTM with adaptive-threshold spiking neurons, reports high accuracy on MODMA and lower AVEC2014 RMSE, but its noise-robustness proof and data splits are questionable.
The SCL-90-R, Brief Symptom Inventory, and Matching Clinical Rating Scales,
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RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis
RBA-FE, a hybrid CNN-attention-BiLSTM with adaptive-threshold spiking neurons, reports high accuracy on MODMA and lower AVEC2014 RMSE, but its noise-robustness proof and data splits are questionable.