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Modeling Perceivers Neural-Responses Using Lobe-Dependent Convolutional Neural Network to Improve Speech Emotion Recognition.

, , , , and . INTERSPEECH, page 3261-3265. ISCA, (2017)

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IEMOCAP: interactive emotional dyadic motion capture database, , , , , , , , and . Language Resources and Evaluation, 42 (4): 335-359 (December 2008)"Your Behavior Makes Me Think It Is a Lie": Recognizing Perceived Deception using Multimodal Data in Dialog Games., and . APSIPA, page 393-402. IEEE, (2020)Learning a Cytometric Deep Phenotype Embedding for Automatic Hematological Malignancies Classification., , , , , and . EMBC, page 1733-1736. IEEE, (2019)Through the Eyes of Viewers: A Comment-Enhanced Media Content Representation for TED Talks Impression Recognition., , and . APSIPA, page 414-418. IEEE, (2019)NNIME: The NTHU-NTUA Chinese interactive multimodal emotion corpus., , , , , and . ACII, page 292-298. IEEE Computer Society, (2017)A thin-slice perception of emotion? An information theoretic-based framework to identify locally emotion-rich behavior segments for global affect recognition., and . ICASSP, page 5790-5794. IEEE, (2016)Predicting Performance Outcome with a Conversational Graph Convolutional Network for Small Group Interactions., and . ICASSP, page 8044-8048. IEEE, (2020)A Triplet-Loss Embedded Deep Regressor Network for Estimating Blood Pressure Changes Using Prosodic Features., , , , and . ICASSP, page 6019-6023. IEEE, (2018)Learning Lexical Coherence Representation Using LSTM Forget Gate for Children with Autism Spectrum Disorder During Story-Telling., , , and . ICASSP, page 6029-6033. IEEE, (2018)Generating fMRI-Enriched Acoustic Vectors using a Cross-Modality Adversarial Network for Emotion Recognition., , , , and . ICMI, page 55-62. ACM, (2018)