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Automatic feature selection for acoustic-visual concatenative speech synthesis: towards a perceptual objective measure.

, , , , , and . AVSP, page 175-180. ISCA, (2013)

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Transfer Learning of the Expressivity Using FLOW Metric Learning in Multispeaker Text-to-Speech Synthesis., , and . INTERSPEECH, page 4397-4401. ISCA, (2020)Automatic pitch marking for speech transformations via TD-PSOLA., and . EUSIPCO, page 1-4. IEEE, (1998)DNN-Based Speech Synthesis for Arabic: Modelling and Evaluation., , , and . SLSP, volume 11171 of Lecture Notes in Computer Science, page 9-20. Springer, (2018)Some consideration on expressive audiovisual speech corpus acquisition using a multimodal platform., , and . Lang. Resour. Evaluation, 54 (4): 943-974 (2020)Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS., , and . CoRR, (2023)On the quality of an expressive audiovisual corpus: a case study of acted speech., , and . AVSP, page 53-57. ISCA, (2017)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)Linguistic features weighting for a text-to-speech system without prosody model., and . INTERSPEECH, page 2549-2552. ISCA, (2005)Improving transfer of expressivity for end-to-end multispeaker text-to-speech synthesis., , and . EUSIPCO, page 31-35. IEEE, (2021)