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Thousands of Voices for HMM-Based Speech Synthesis-Analysis and Application of TTS Systems Built on Various ASR Corpora.

, , , , , , , , , , , , and . IEEE Trans. Speech Audio Process., 18 (5): 984-1004 (2010)

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Statistical parametric speech synthesis for Ibibio., , , , and . Speech Commun., (2014)Synthesis of Child Speech With HMM Adaptation and Voice Conversion., , , and . IEEE Trans. Speech Audio Process., 18 (5): 1005-1016 (2010)Thousands of voices for HMM-based speech synthesis., , , , , , , , , and 2 other author(s). INTERSPEECH, page 420-423. ISCA, (2009)Sentence-level control vectors for deep neural network speech synthesis., , and . INTERSPEECH, page 2217-2221. ISCA, (2015)Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data., , , and . INTERSPEECH, page 32-36. ISCA, (2018)Using generative modelling to produce varied intonation for speech synthesis., , and . CoRR, (2019)Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models., , , , , , , , , and 6 other author(s). CoRR, (2023)Unsupervised Continuous-Valued Word Features for Phrase-Break Prediction without a Part-of-Speech Tagger., , and . INTERSPEECH, page 2157-2160. ISCA, (2011)A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks., , , , , and . INTERSPEECH, page 342-346. ISCA, (2016)Syllable-Level Representations of Suprasegmental Features for DNN-Based Text-to-Speech Synthesis., , and . INTERSPEECH, page 3186-3190. ISCA, (2016)