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On Granularity of Prosodic Representations in Expressive Text-to-Speech., , , , , and . SLT, page 892-899. IEEE, (2022)Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech., , , , , , , and . CoRR, (2021)Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow., , , , , , and . ICASSP, page 6782-6786. IEEE, (2022)Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech., , , , , , , and . ICONIP (7), volume 1961 of Communications in Computer and Information Science, page 252-264. Springer, (2023)Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech., , , , , , , , , and 3 other author(s). INTERSPEECH, page 27-31. ISCA, (2023)Remap, Warp and Attend: Non-Parallel Many-to-Many Accent Conversion with Normalizing Flows., , , , , , , , and . SLT, page 984-990. IEEE, (2022)On granularity of prosodic representations in expressive text-to-speech., , , , , and . CoRR, (2023)Creating New Voices using Normalizing Flows., , , , , , , and . INTERSPEECH, page 2958-2962. ISCA, (2022)