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

Research article (IEEE Transactions on Affective Computing, 2022) · cited 88× · AI/ML
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Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN

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Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-depression-severity-based-on-the-prosodic-and-semantic-features-with-bidirectional-lstm-and-time-distribut
MLA “Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-depression-severity-based-on-the-prosodic-and-semantic-features-with-bidirectional-lstm-and-time-distribut.
BibTeX @misc{4ortxyz_prediction-of-depression-severity-based-on-the-prosodic-and-semantic-features-with-bidirectional-lstm-and-time-distribut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-depression-severity-based-on-the-prosodic-and-semantic-features-with-bidirectional-lstm-and-time-distribut}, note = {Accessed: 2026-05-24}}
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