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An HMM-based speech-smile synthesis system: An approach for amusement synthesis.

, , , and . FG, page 1-6. IEEE Computer Society, (2015)

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Nonverbal conversation expressions processing for human-agent interactions.. ACII, page 601-605. IEEE Computer Society, (2017)Smile and Laugh Dynamics in Naturalistic Dyadic Interactions: Intensity Levels, Sequences and Roles., , and . ICMI, page 259-263. ACM, (2019)Breath and repeat: An attempt at enhancing speech-laugh synthesis quality., , , and . EUSIPCO, page 355-358. IEEE, (2015)Deep Learning-Based Stereo Camera Multi-Video Synchronization., , , , and . ICASSP, page 1-5. IEEE, (2023)AVAB-DBS: an Audio-Visual Affect Bursts Database for Synthesis., , , and . LREC, European Language Resources Association (ELRA), (2016)A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter., , and . ACII, page 1-8. IEEE, (2022)Introducing AmuS: The Amused Speech Database., , , , , , and . SLSP, volume 10583 of Lecture Notes in Computer Science, page 229-240. Springer, (2017)The Limitations of Current Similarity-Based Objective Metrics in the Context of Human-Agent Interaction Applications., , , , , , , and . ICMI Companion, page 81-85. ACM, (2023)Towards a listening agent: a system generating audiovisual laughs and smiles to show interest., , , , and . ICMI, page 248-255. ACM, (2016)Exploring Transfer Learning for Low Resource Emotional TTS., , and . IntelliSys (1), volume 1037 of Advances in Intelligent Systems and Computing, page 52-60. Springer, (2019)