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Automatic recognition of self-reported and perceived emotion: does joint modeling help?

, , and . ICMI, page 217-224. ACM, (2016)

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Predicting the distribution of emotion perception: capturing inter-rater variability., , and . ICMI, page 51-59. ACM, (2017)Predicting Emotion Perception Across Domains: A Study of Singing and Speaking., , , and . AAAI, page 1328-1335. AAAI Press, (2015)Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences., , and . IEEE Trans. Affective Computing, 10 (1): 85-99 (2019)Recognizing emotion from singing and speaking using shared models., , and . ACII, page 139-145. IEEE Computer Society, (2015)Improving the generalizability of emotion recognition systems: towards emotion recognition in the wild.. ICMI, page 582-586. ACM, (2016)Automatic recognition of self-reported and perceived emotion: does joint modeling help?, , and . ICMI, page 217-224. ACM, (2016)Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach., , and . ICASSP, page 5805-5809. IEEE, (2016)Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks., , , , , and . CoRR, (2019)Wild wild emotion: a multimodal ensemble approach., , , , , , and . ICMI, page 501-505. ACM, (2016)Exploiting Acoustic and Lexical Properties of Phonemes to Recognize Valence from Speech., , and . ICASSP, page 5871-5875. IEEE, (2019)