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Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis., , and . CoRR, (2018)Human Walking Motion Synthesis with Desired Pace and Stride Length Based on HSMM., , and . IEICE Trans. Inf. Syst., 88-D (11): 2492-2499 (2005)Complex-Valued Restricted Boltzmann Machine for Speaker-Dependent Speech Parameterization From Complex Spectra., , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (2): 244-254 (2019)Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis., , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (8): 1406-1419 (2018)Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems., , , , and . WIFS, page 1-9. IEEE, (2018)Privacy-preserving sound to degrade automatic speaker verification performance., , and . ICASSP, page 5500-5504. IEEE, (2016)Building personalised synthetic voices for individuals with severe speech impairment., , , and . Comput. Speech Lang., 27 (6): 1178-1193 (2013)How Similar or Different Is Rakugo Speech Synthesizer to Professional Performers?, , , , and . CoRR, (2020)A Style Adaptation Technique for Speech Synthesis Using HSMM and Suprasegmental Features, , , and . IEICE Transactions on Information and Systems, E89-D (3): 1092-1099 (March 2006)Average-Voice-Based Speech Synthesis. Tokyo Institute of Technology, Tokyo, Japan, (2006)