Mismatch between acoustic and textual emotion, learned by a cross-attention model, improves automatic depression severity detection on a private counseling dataset.
Au- tomatic assessment of depression based on visual cues: A systematic review,
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Investigating Acoustic-Textual Emotional Inconsistency Information for Automatic Depression Detection
Mismatch between acoustic and textual emotion, learned by a cross-attention model, improves automatic depression severity detection on a private counseling dataset.