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The USTC system for blizzard machine learning challenge 2017-ES2., , , , and . ASRU, page 650-656. IEEE, (2017)Voice conversion using deep neural networks with layer-wise generative training., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (12): 1859-1872 (2014)Sequence-to-Sequence Acoustic Modeling for Voice Conversion., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (3): 631-644 (2019)End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training., , , , , and . APSIPA, page 623-627. IEEE, (2019)Improving Sequence-to-sequence Voice Conversion by Adding Text-supervision., , , , , and . ICASSP, page 6785-6789. IEEE, (2019)The iFLYTEK system for blizzard machine learning challenge 2017-ES1., , , , , , and . ASRU, page 657-664. IEEE, (2017)Stabilization for linear uncertain systems with switched time-varying delays., , , and . Neurocomputing, (2016)An Efficient Text Classification Algorithm in E-commerce Application., , and . CSIE (4), page 458-461. IEEE Computer Society, (2009)Spectral conversion using deep neural networks trained with multi-source speakers., , , and . ICASSP, page 4849-4853. IEEE, (2015)Sequence-to-Sequence Acoustic Modeling for Voice Conversion., , , , and . CoRR, (2018)