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The HTS-2008 System: Yet Another Evaluation of the Speaker-Adaptive HMM-based Speech Synthesis System in The 2008 Blizzard Challenge

, , , , and . Proceedings of the Blizzard Challenge Workshop, Brisbane, Australia, (September 2008)

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Multi-Bit Sigma Delta ADC with Reduced Feedback Levels, Extended Dynamic Range and Increased Tolerance for Analog Imperfections., , , , , , , , , and . CICC, page 77-80. IEEE, (2007)Minimum generation error criterion for tree-based clustering of context dependent HMMs., , and . INTERSPEECH, ISCA, (2006)A study on automatic detection of Japanese vowel devoicing for speech synthesis., , , and . INTERSPEECH, page 2721-2724. ISCA, (2004)A hierarchical F0 modeling method for HMM-based speech synthesis., , , , and . INTERSPEECH, page 2170-2173. ISCA, (2010)Improving the performance of HMM-based voice conversion using context clustering decision tree and appropriate regression matrix format., , , and . INTERSPEECH, ISCA, (2006)An improved minimum generation error based model adaptation for HMM-based speech synthesis., , and . INTERSPEECH, page 1787-1790. ISCA, (2009)Thousands of Voices for HMM-Based Speech Synthesis-Analysis and Application of TTS Systems Built on Various ASR Corpora., , , , , , , , , and 3 other author(s). IEEE Trans. Speech Audio Process., 18 (5): 984-1004 (2010)Personalising speech-to-speech translation in the EMIME project, , , , , , , , , and 9 other author(s). Proceedings of the ACL 2010 System Demonstrations, page 48-53. Association for Computational Linguistics, (July 2010)Minimum generation error criterion considering global/local variance for HMM-based speech synthesis., , , , and . ICASSP, page 4621-4624. IEEE, (2008)A 107.4 dB SNR Multi-Bit Sigma Delta ADC With 1-PPM THD at -0.12 dB From Full Scale Input., , , and . IEEE J. Solid State Circuits, 44 (11): 3060-3066 (2009)