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Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech., , , , , , , , , and 3 other author(s). CoRR, (2023)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)Detection of Lexical Stress Errors in Non-native (L2) English with Data Augmentation and Attention., , , , , , , , and . CoRR, (2020)On granularity of prosodic representations in expressive text-to-speech., , , , , and . CoRR, (2023)Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention., , , , , , , , and . Interspeech, page 3915-3919. ISCA, (2021)Creating New Voices using Normalizing Flows., , , , , , , and . INTERSPEECH, page 2958-2962. ISCA, (2022)L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis., , , and . INTERSPEECH, page 4317-4321. ISCA, (2022)Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech., , , , and . Interspeech, page 4408-4412. ISCA, (2021)Enhancing audio quality for expressive Neural Text-to-Speech., , , , , , , , , and . CoRR, (2021)