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Hierarchical Attention Transfer Networks for Depression Assessment from Speech.

, , , , , and . ICASSP, page 7159-7163. IEEE, (2020)

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Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition., , , , , , and . IEEE Access, (2019)Adversarial Training for Predicting the Trend of the COVID-19 Pandemic., , , , , and . J. Database Manag., 33 (1): 1-16 (2022)Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes., , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (11): 8065-8077 (2022)Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization., and . IEEE Trans. Signal Process., (2023)Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition., , , , , , and . Neural Networks, (2021)Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints., , and . ICASSP, page 4150-4154. IEEE, (2019)Hierarchical Attention Transfer Networks for Depression Assessment from Speech., , , , , and . ICASSP, page 7159-7163. IEEE, (2020)Large Covariance Matrix Estimation with Oracle Statistical Rate., and . ICASSP, page 1-5. IEEE, (2023)Semi Supervised Learning for Prediction of Prosodic Phrase Boundaries in Chinese TTS Using Conditional Random Fields., , and . ISNN (2), volume 6676 of Lecture Notes in Computer Science, page 477-485. Springer, (2011)FER by Modeling the Conditional Independence between the Spatial Cues and the Spatial Attention Distributions., , , , and . ICMI Companion, page 85-90. ACM, (2021)