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RIch-context Unit Selection (RUS) approach to high quality TTS., , and . ICASSP, page 4798-4801. IEEE, (2010)Drug-Target Interaction Prediction Based on Multi-Similarity Fusion and Sparse Dual-Graph Regularized Matrix Factorization., , , and . IEEE Access, (2021)Improved Prosody Generation by Maximizing Joint Probability of State and Longer Units., , , and . IEEE Trans. Speech Audio Process., 19 (6): 1702-1710 (2011)Modeling and Generating Tone Contour with Phrase Intonation for Mandarin Chinese Speech., , , and . ISCSLP, page 121-124. IEEE, (2008)Sequence generation error (SGE) minimization based deep neural networks training for text-to-speech synthesis., , , and . INTERSPEECH, page 864-868. ISCA, (2015)Rich context modeling for high quality HMM-based TTS., , and . INTERSPEECH, page 1755-1758. ISCA, (2009)A minimum v/u error approach to F0 generation in HMM-based TTS., , , and . INTERSPEECH, page 408-411. ISCA, (2009)Self-Adaptive DNN for Improving Spoken Language Proficiency Assessment., , , and . INTERSPEECH, page 3122-3126. ISCA, (2016)An HMM trajectory tiling (HTT) approach to high quality TTS., , , , , and . INTERSPEECH, page 422-425. ISCA, (2010)Understanding Bidding Strategy of Service Providers in Crowdsourcing Marketplace: The Influence of Buyer's Preference Disclosure., , , and . HCI (46), volume 1835 of Communications in Computer and Information Science, page 409-415. Springer, (2023)