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Deep Variational Metric Learning for Transfer of Expressivity in Multispeaker Text to Speech.

, , and . SLSP, volume 12379 of Lecture Notes in Computer Science, page 157-168. Springer, (2020)

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Automatic pitch marking for speech transformations via TD-PSOLA., and . EUSIPCO, page 1-4. IEEE, (1998)Transfer Learning of the Expressivity Using FLOW Metric Learning in Multispeaker Text-to-Speech Synthesis., , and . INTERSPEECH, page 4397-4401. ISCA, (2020)Learning emotions latent representation with CVAE for text-driven expressive audiovisual speech synthesis., , , and . Neural Networks, (2021)\(F_0\) Modeling Using DNN for Arabic Parametric Speech Synthesis., , , and . INNSBDDL, page 186-195. Springer, (2019)Improving transfer of expressivity for end-to-end multispeaker text-to-speech synthesis., , and . EUSIPCO, page 31-35. IEEE, (2021)Linguistic features weighting for a text-to-speech system without prosody model., and . INTERSPEECH, page 2549-2552. ISCA, (2005)Techniques d'analyse et de synthèse de la parole appliquées à l'apprentissage des langues.. Henri Poincaré University, Nancy, France, (2002)Can We Use Common Voice to Train a Multi-Speaker TTS System?, , and . SLT, page 900-905. IEEE, (2022)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)Automatic enhancement of speech intelligibility., and . ICASSP, page 1057-1060. IEEE, (2000)