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Average-Voice-Based Speech Synthesis. Tokyo Institute of Technology, Tokyo, Japan, (2006)The CSTR/EMIME HTS System for Blizzard Challenge 2010, and . Proceedings of the Blizzard Challenge Workshop, page 1-6. Kansai Science City, Japan, (September 2010)Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis., , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (8): 1406-1419 (2018)Glottal Spectral Separation for Speech Synthesis., , , and . IEEE J. Sel. Top. Signal Process., 8 (2): 195-208 (2014)Introduction to the Issue on Spoofing and Countermeasures for Automatic Speaker Verification., , , , and . IEEE J. Sel. Top. Signal Process., 11 (4): 585-587 (2017)XFEVER: Exploring Fact Verification across Languages., , and . CoRR, (2023)Privacy-preserving sound to degrade automatic speaker verification performance., , and . ICASSP, page 5500-5504. IEEE, (2016)Unsupervised and lightly-supervised learning for rapid construction of TTS systems in multiple languages from 'found' data: evaluation and analysis., , , , , , and . SSW, page 101-106. ISCA, (2013)Real-time control of expressive speech synthesis using kinect body tracking., , , , and . SSW, page 247-248. ISCA, (2013)Towards speaking style transplantation in speech synthesis., , , , and . SSW, page 159-163. ISCA, (2013)