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Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses.

, , and . Pattern Recognit., (2019)

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Mood detection from daily conversational speech using denoising autoencoder and LSTM., , , and . ICASSP, page 5125-5129. IEEE, (2017)Detection of mood disorder using speech emotion profiles and LSTM., , , and . ISCSLP, page 1-5. IEEE, (2016)Automatic assessment of affective episodes for daily activities analysis., , , and . APSIPA, page 1-4. IEEE, (2014)Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses., , and . Pattern Recognit., (2019)Dialog State Tracking and action selection using deep learning mechanism for interview coaching., , , , and . IALP, page 6-9. IEEE, (2016)Cell-Coupled Long Short-Term Memory With L-Skip Fusion Mechanism for Mood Disorder Detection Through Elicited Audiovisual Features., , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (1): 124-135 (2020)Dialog state tracking for interview coaching using two-level LSTM., , , , and . ISCSLP, page 1-5. IEEE, (2016)Unipolar Depression vs. Bipolar Disorder: An Elicitation-Based Approach to Short-Term Detection of Mood Disorder., , , and . INTERSPEECH, page 1452-1456. ISCA, (2016)Personality trait perception from speech signals using multiresolution analysis and convolutional neural networks., , , , and . APSIPA, page 1532-1536. IEEE, (2017)Response Selection and Automatic Message-Response Expansion in Retrieval-Based QA Systems using Semantic Dependency Pair Model., , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 18 (1): 3:1-3:24 (2019)