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Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures
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In: Proceeding of the 24th International Conference on Human-Computer Interaction ; https://hal.archives-ouvertes.fr/hal-03428910 ; Proceeding of the 24th International Conference on Human-Computer Interaction, 2021 (2021)
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Sequence-to-Sequence Predictive models: from Prosody to Communicative Gestures
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In: Workshop sur les Affects, Compagnons artificiels et Interactions ; https://hal.inria.fr/hal-02933487 ; Workshop sur les Affects, Compagnons artificiels et Interactions, CNRS, Université Toulouse Jean Jaurès, Université de Bordeaux, Jun 2020, Saint Pierre d'Oléron, France (2020)
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The ISO Standard for Dialogue Act Annotation, Second Edition
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03011688 ; Proceedings of the 12th Language Resources and Evaluation Conference, May 2020, Marseille, France (2020)
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Multimodal Analysis of Cohesion in Multi-party Interactions
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In: LREC ; https://hal.archives-ouvertes.fr/hal-02953469 ; LREC, 2020, Marseille, France (2020)
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A multimodal corpus of simulated consultations between a patient and multiple healthcare professionals
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.sorbonne-universite.fr/hal-03209106 ; Language Resources and Evaluation, Springer Verlag, 2020, ⟨10.1007/s10579-020-09526-0⟩ (2020)
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How Confident are You? Exploring the Role of Fillers in the Automatic Prediction of a Speaker's Confidence
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In: Workshop sur les Affects, Compagnons artificiels et Interactions ; https://hal.inria.fr/hal-02933476 ; Workshop sur les Affects, Compagnons artificiels et Interactions, CNRS, Université Toulouse Jean Jaurès, Université de Bordeaux, Jun 2020, Saint Pierre d'Oléron, France (2020)
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HOW CONFIDENT ARE YOU? EXPLORING THE ROLE OF FILLERS IN THE AUTOMATIC PREDICTION OF A SPEAKER’S CONFIDENCE
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In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-02942182 ; ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.8104-8108, ⟨10.1109/ICASSP40776.2020.9054374⟩ (2020)
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Disfluencies and Teaching Strategies in Social Interactions Between a Pedagogical Agent and a Student: Background and Challenges
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In: SEMDIAL 2018 (AixDial), The 22nd workshop on the Semantics and Pragmatics of Dialogue ; https://hal.telecom-paris.fr/hal-02292437 ; SEMDIAL 2018 (AixDial), The 22nd workshop on the Semantics and Pragmatics of Dialogue, Nov 2018, Aix-en-Provence, France. pp.188-191 (2018)
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Automating the Production of Communicative Gestures in Embodied Characters
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Proceedings of the 18th International Conference on Intelligent Virtual Agents, Sydney, NSW, Australia, November 05 - 08, 2018
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A Methodology for the Automatic Extraction and Generation of Non-Verbal Signals Sequences Conveying Interpersonal Attitudes
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In: ISSN: 1949-3045 ; IEEE Transactions on Affective Computing ; https://hal.archives-ouvertes.fr/hal-01793271 ; IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2017, XX, pp.1 - 1. ⟨10.1109/TAFFC.2017.2753777⟩ (2017)
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Laughter Animation Generation
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In: Handbook of Human Motion ; https://hal.sorbonne-universite.fr/hal-01528400 ; Bertram Müller; Sebastian I. Wolf; Gert-Peter Brueggemann; Zhigang Deng; Andrew McIntosh; Freeman Miller; William Scott Selbie. Handbook of Human Motion, Springer, 2017, ⟨10.1007/978-3-319-30808-1_190-1⟩ (2017)
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Abstract:
International audience ; Laughter is an important communicative signal in human-human communication. It involves the whole body, from lip motion, facial expression, to rhythmic body and shoulder movement. Laughter is an important social signal in human-human interaction and may convey a wide range of meanings (extreme happiness, social bounding, politeness, irony,). To enhance human-machine interactions, efforts have been made to endow embodied conversational agents, ECAs, with laughing capabilities. Recently, motion capture technologies have been applied to record laughter behaviors including facial expressions and body movements. It allows investigating the temporal relationship of laughter behaviors in details. Based on the available data, researchers have made efforts to develop automatic generation models of laughter animations. These models control the multimodal behaviors of ECAs including lip motions, upper facial expressions, head rotations, shoulder shaking, and torso movements. The underlying idea of these works is to propose a statistical framework able to automatically capture the correlation between laughter audio and multimodal behaviors. In the synthesis phase, the captured correlation is rendered into synthesized animations according to laughter audio given in input. This chapter reviews existing works on automatic generation of laughter animation.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
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URL: https://hal.sorbonne-universite.fr/hal-01528400 https://doi.org/10.1007/978-3-319-30808-1_190-1
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The NoXi database: multimodal recordings of mediated novice-expert interactions
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Analysis of Verbal and Nonverbal Communication and Enactment.The Processing Issues : COST 2102 International Conference, Budapest, Hungary, September 7-10, 2010, Revised Selected Papers
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UB Frankfurt Linguistik
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