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Fault detection reduced-order filter design for discrete-time Markov jump system with deficient transition information., , и . EURASIP J. Adv. Signal Process., (2016)Learning and Modeling Unit Embeddings Using Deep Neural Networks for Unit-Selection-Based Mandarin Speech Synthesis., , и . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (3): 38:1-38:14 (2020)Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations., , и . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Voice conversion using deep neural networks with layer-wise generative training., , , и . IEEE ACM Trans. Audio Speech Lang. Process., 22 (12): 1859-1872 (2014)Preserve ordering property of generated LSPS for minimum generation error training in HMM-based speech synthesis., , и . ICASSP, стр. 4712-4715. IEEE, (2011)The USTC system for blizzard machine learning challenge 2017-ES2., , , , и . ASRU, стр. 650-656. IEEE, (2017)Unsupervised prosodic phrase boundary labeling of Mandarin speech synthesis database using context-dependent HMM., , и . ICASSP, стр. 6875-6879. IEEE, (2013)Extracting Unit Embeddings Using Sequence-To-Sequence Acoustic Models for Unit Selection Speech Synthesis., , и . ICASSP, стр. 7659-7663. IEEE, (2020)Phoneme variation based synthesized speech discrimination for speaker verification., , , и . ICASSP, стр. 7874-7877. IEEE, (2013)An automatic language identification method based on subspace analysis., , и . ICME, стр. 598-601. IEEE, (2009)