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Effect of Data Reduction on Sequence-to-sequence Neural TTS., , , , , , and . ICASSP, page 7075-7079. IEEE, (2019)Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection., , , , and . CoRR, (2019)Effect of data reduction on sequence-to-sequence neural TTS., , , , , , and . CoRR, (2018)Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech., , , , and . Interspeech, page 4408-4412. ISCA, (2021)Towards Achieving Robust Universal Neural Vocoding., , , , , , , and . INTERSPEECH, page 181-185. ISCA, (2019)High-Quality Nonparallel Voice Conversion Based on Cycle-Consistent Adversarial Network., , , and . ICASSP, page 5279-5283. IEEE, (2018)A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment., , , , , , and . Odyssey, page 187-194. ISCA, (2018)Parallel WaveNet conditioned on VAE latent vectors., , , , , , and . CoRR, (2020)In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data., , , , , , , and . NAACL-HLT (2), page 205-213. Association for Computational Linguistics, (2019)Using VAEs and Normalizing Flows for One-shot Text-To-Speech Synthesis of Expressive Speech, , , , and . (2019)cite arxiv:1911.12760Comment: Accepted to ICASSP 2020.