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The Limitations of Current Similarity-Based Objective Metrics in the Context of Human-Agent Interaction Applications., , , , , , , и . ICMI Companion, стр. 81-85. ACM, (2023)Towards a listening agent: a system generating audiovisual laughs and smiles to show interest., , , , и . ICMI, стр. 248-255. ACM, (2016)Introducing AmuS: The Amused Speech Database., , , , , , и . SLSP, том 10583 из Lecture Notes in Computer Science, стр. 229-240. Springer, (2017)An HMM approach for synthesizing amused speech with a controllable intensity of smile., , , , и . ISSPIT, стр. 7-11. IEEE Computer Society, (2015)Exploring Transfer Learning for Low Resource Emotional TTS., , и . IntelliSys (1), том 1037 из Advances in Intelligent Systems and Computing, стр. 52-60. Springer, (2019)Emotional Speech Datasets for English Speech Synthesis Purpose: A Review., , и . IntelliSys (1), том 1037 из Advances in Intelligent Systems and Computing, стр. 61-66. Springer, (2019)Laughter Synthesis: Combining Seq2seq Modeling with Transfer Learning., , и . INTERSPEECH, стр. 3401-3405. ISCA, (2020)AVAB-DBS: an Audio-Visual Affect Bursts Database for Synthesis., , , и . LREC, European Language Resources Association (ELRA), (2016)A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter., , и . ACII, стр. 1-8. IEEE, (2022)Deep Learning-Based Stereo Camera Multi-Video Synchronization., , , , и . ICASSP, стр. 1-5. IEEE, (2023)