most citedPrediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

99 citations · 99 across the 1 of their papers we have counts for

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1 paper

cs.HC2022★ 99 cited

Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

Kaining Mao, Wei Zhang, Deborah Baofeng Wang +9

Depression is increasingly impacting individuals both physically and psychologically worldwide. It has become a global major public health problem and attracts attention from vario…