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CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3331-3340. PMLR, (2019)The ASVspoof 2019 database., , , , , , , , , and 30 other author(s). CoRR, (2019)LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech., , , , , , , and . INTERSPEECH, page 1526-1530. ISCA, (2019)Evaluating Long-form Text-to-Speech: Comparing the Ratings of Sentences and Paragraphs., , , and . CoRR, (2019)Improving Phonetic Realizations in its by Using Phoneme-Aligned Graphemes., , , , and . ICASSP, page 6077-6081. IEEE, (2022)StrawNet: Self-Training WaveNet for TTS in Low-Data Regimes., , and . INTERSPEECH, page 3550-3554. ISCA, (2020)Tacotron: Towards End-to-End Speech Synthesis., , , , , , , , , and 4 other author(s). INTERSPEECH, page 4006-4010. ISCA, (2017)Synthesizing variation in prosody for Text-to-Speech.. IberSPEECH, ISCA, (2018)Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model., , , , , , , , , and 4 other author(s). CoRR, (2017)Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model., , and . INTERSPEECH, page 4412-4416. ISCA, (2020)