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Disambiguation of "Lee, Chi-Chun"

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Interpreting ambiguous emotional expressions.

, , , , , , and . ACII, page 1-8. IEEE Computer Society, (2009)

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Moosung Lee University of Stuttgart

Dongwon Lee University of Stuttgart

Junghwa Lee University of Stuttgart

Ph. D. Benjamin Lee University of Stuttgart

Haripriya Chinnaraj University of Stuttgart

 

Other publications of authors with the same name

A multimodal approach for automatic assessment of school principals' oral presentation during pre-service training program., , , , , and . INTERSPEECH, page 2529-2533. ISCA, (2015)Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions., , , and . INTERSPEECH, page 1983-1986. ISCA, (2009)Head motion synchrony and its correlation to affectivity in dyadic interactions., , , , and . ICME, page 1-6. IEEE Computer Society, (2013)A thin-slice perception of emotion? an information theoretic-based framework to identify locally emotion-rich behavior segments for global affect recognition, and . Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on, page 5790--5794. IEEE, (2016)Computing vocal entrainment: A signal-derived PCA-based quantification scheme with application to affect analysis in married couple interactions., , , , , , and . Computer Speech & Language, 28 (2): 518-539 (2014)An investigation of vocal arousal dynamics in child-psychologist interactions using synchrony measures and a conversation-based model., , , and . INTERSPEECH, page 218-222. ISCA, (2014)Automatic Assessment of Individual Culture Attribute of Power Distance Using a Social Context-Enhanced Prosodic Network Representation., , , and . INTERSPEECH, page 436-440. ISCA, (2018)Learning Lexical Coherence Representation Using LSTM Forget Gate for Children with Autism Spectrum Disorder During Story-Telling., , , and . ICASSP, page 6029-6033. IEEE, (2018)A Triplet-Loss Embedded Deep Regressor Network for Estimating Blood Pressure Changes Using Prosodic Features., , , , and . ICASSP, page 6019-6023. IEEE, (2018)Generating fMRI-Enriched Acoustic Vectors using a Cross-Modality Adversarial Network for Emotion Recognition., , , , and . ICMI, page 55-62. ACM, (2018)