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Automatic Recognition of Spontaneous Emotions in Speech Using Acoustic and Lexical Features., и . MLMI, том 5237 из Lecture Notes in Computer Science, стр. 161-172. Springer, (2008)"You Can Do It!" - Crowdsourcing Motivational Speech and Text Messages., , , и . Macrotask Crowdsourcing, Springer, (2019)Selecting the right robot: Influence of user attitude, robot sociability and embodiment on user preferences., и . RO-MAN, стр. 682-687. IEEE, (2015)Towards modeling expressed emotions in oral history interviews: Using verbal and nonverbal signals to track personal narratives., , , и . Lit. Linguistic Comput., 29 (4): 621-636 (2014)Automatic detection of frequent pronunciation errors made by L2-learners., , , , и . INTERSPEECH, стр. 1345-1348. ISCA, (2005)Nanogami: the microbiome expanded. speak your truth. listen to your gut., , , , и . UbiComp, стр. 295-300. ACM, (2018)Arousal and valence prediction in spontaneous emotional speech: felt versus perceived emotion., , , и . INTERSPEECH, стр. 2027-2030. ISCA, (2009)An annotation scheme for sighs in spontaneous dialogue., , , и . INTERSPEECH, стр. 228-232. ISCA, (2014)Give the Body a Voice: Co-design with Profound Intellectual and Multiple Disabilities to Create Multisensory Wearables., , и . CHI Extended Abstracts, стр. 375:1-375:6. ACM, (2021)Affective multimodal mirror: sensing and eliciting laughter., , , , , , и . HCM@MM, стр. 31-40. ACM, (2007)