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Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis.

, , , and . INTERSPEECH, page 2598-2602. ISCA, (2019)

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Étude comparative des paramètres d'entrée pour la synthèse expressive audiovisuelle de la parole par DNNs (Comparative study of input parameters for DNN-based expressive audiovisual speech synthesis )., , and . JEP-TALN-RECITAL (1), page 127-135. ATALA et AFCP, (2020)Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis., , , and . INTERSPEECH, page 2598-2602. ISCA, (2019)Acoustic and Visual Analysis of Expressive Speech: A Case Study of French Acted Speech., , , and . INTERSPEECH, page 580-584. ISCA, (2016)Synthèse audiovisuelle de la parole expressive : modélisation des émotions par apprentissage profond. (Audiovisual synthesis of expressive speech : modeling of emotions with deep learning).. University of Lorraine, Nancy, France, (2020)Learning emotions latent representation with CVAE for text-driven expressive audiovisual speech synthesis., , , and . Neural Networks, (2021)Some consideration on expressive audiovisual speech corpus acquisition using a multimodal platform., , and . Lang. Resour. Evaluation, 54 (4): 943-974 (2020)On the quality of an expressive audiovisual corpus: a case study of acted speech., , and . AVSP, page 53-57. ISCA, (2017)Modeling Labial Coarticulation with Bidirectional Gated Recurrent Networks and Transfer Learning., , and . INTERSPEECH, page 2608-2612. ISCA, (2019)