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IEMOCAP: interactive emotional dyadic motion capture database, , , , , , , , и . Language Resources and Evaluation, 42 (4): 335-359 (декабря 2008)Shape-based modeling of the fundamental frequency contour for emotion detection in speech., , и . Comput. Speech Lang., 28 (1): 278-294 (2014)Robust Driver Head Pose Estimation in Naturalistic Conditions from Point-Cloud Data., , и . IV, стр. 1176-1182. IEEE, (2020)Adapting a Self-Supervised Speech Representation for Noisy Speech Emotion Recognition by Using Contrastive Teacher-Student Learning., , , , и . ICASSP, стр. 1-5. IEEE, (2023)Privacy Preserving Personalization for Video Facial Expression Recognition Using Federated Learning., и . ICMI, стр. 495-503. ACM, (2022)Audio-based head motion synthesis for Avatar-based telepresence systems., , , и . ETP@MM, стр. 24-30. ACM, (2004)Generative Approach Using Soft-Labels to Learn Uncertainty in Predicting Emotional Attributes *., , и . ACII, стр. 1-8. IEEE, (2021)Analysis and Compensation of the Reaction Lag of Evaluators in Continuous Emotional Annotations., и . ACII, стр. 85-90. IEEE Computer Society, (2013)Evaluation of syllable rate estimation in expressive speech and its contribution to emotion recognition., и . SLT, стр. 472-477. IEEE, (2014)Analysis of the Relationship Between Physiological Signals and Vehicle Maneuvers During a Naturalistic Driving Study., , и . ITSC, стр. 3230-3235. IEEE, (2019)