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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)Defining Emotionally Salient Regions Using Qualitative Agreement Method., и . INTERSPEECH, стр. 3598-3602. ISCA, (2016)Head Motion Generation with Synthetic Speech: A Data Driven Approach., и . INTERSPEECH, стр. 52-56. ISCA, (2016)Predicting Categorical Emotions by Jointly Learning Primary and Secondary Emotions through Multitask Learning., и . INTERSPEECH, стр. 951-955. ISCA, (2018)Building a naturalistic emotional speech corpus by retrieving expressive behaviors from existing speech corpora., , и . INTERSPEECH, стр. 238-242. ISCA, (2014)Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions., , , , и . Interspeech, стр. 2871-2875. ISCA, (2021)Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions., , , и . INTERSPEECH, стр. 1983-1986. ISCA, (2009)Detecting Sleepiness by Fusing Classifiers Trained with Novel Acoustic Features., , , , , и . INTERSPEECH, стр. 3285-3288. ISCA, (2011)Investigating the role of phoneme-level modifications in emotional speech resynthesis., , , , , , и . INTERSPEECH, стр. 801-804. ISCA, (2005)