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Combining Mimic and Prosodic Analyses for User Disposition Classification

, , , , , и . Elektronische Sprachsignalverarbeitung 2012. Tagungsband der 23. Konferenz, том 64 из Studientexte zur Sprachkommunikation, стр. 220--227. Cottbus, Germany, TUDpress, (2012)

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Towards True Artificial Peers., , и . ICHMS, стр. 1-5. IEEE, (2020)Combining Mimic and Prosodic Analyses for User Disposition Classification, , , , , и . Elektronische Sprachsignalverarbeitung 2012. Tagungsband der 23. Konferenz, том 64 из Studientexte zur Sprachkommunikation, стр. 220--227. Cottbus, Germany, TUDpress, (2012)ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech, , , , и . Affective Computing and Intelligent Interaction., том 6974 из Lecture Notes in Computer Science, Springer Berlin, Heidelberg, (2011)On the Sound of Successful Meetings: How Speech Prosody Predicts Meeting Performance., , и . ICMI Companion, стр. 240-248. ACM, (2021)Recognition of emotional speech with convolutional neural networks by means of spectral estimates., , и . ACII Workshops, стр. 50-55. IEEE Computer Society, (2017)ERM4HCI 2013: the 1st workshop on emotion representation and modelling in human-computer-interaction-systems., , , , , и . ICMI, стр. 607-608. ACM, (2013)Editorial: Group analysis and multi-agent interaction - Bridging the gap between social investigations and computational analysis., и . Frontiers Comput. Sci., (2022)Group Leader vs. Remaining Group - Whose Data Should Be Used for Prediction of Team Performance?. Multimodal Technol. Interact., 7 (9): 90 (2023)Modelling Contexts for Interactions in Dynamic Open-World Scenarios., и . SMC, стр. 1459-1464. IEEE, (2019)Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications., , , и . Comput. Speech Lang., 28 (2): 483-500 (2014)