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Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations., , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Voice conversion using deep neural networks with layer-wise generative training., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (12): 1859-1872 (2014)The USTC system for blizzard machine learning challenge 2017-ES2., , , , and . ASRU, page 650-656. IEEE, (2017)Preserve ordering property of generated LSPS for minimum generation error training in HMM-based speech synthesis., , and . ICASSP, page 4712-4715. IEEE, (2011)Unsupervised prosodic phrase boundary labeling of Mandarin speech synthesis database using context-dependent HMM., , and . ICASSP, page 6875-6879. IEEE, (2013)Extracting Unit Embeddings Using Sequence-To-Sequence Acoustic Models for Unit Selection Speech Synthesis., , and . ICASSP, page 7659-7663. IEEE, (2020)Phoneme variation based synthesized speech discrimination for speaker verification., , , and . ICASSP, page 7874-7877. IEEE, (2013)An automatic language identification method based on subspace analysis., , and . ICME, page 598-601. IEEE, (2009)Learning and Modeling Unit Embeddings Using Deep Neural Networks for Unit-Selection-Based Mandarin Speech Synthesis., , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (3): 38:1-38:14 (2020)Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis., , and . CoRR, (2018)