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A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks.

, , , , , and . INTERSPEECH, page 342-346. ISCA, (2016)

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Statistical parametric speech synthesis for Ibibio., , , , and . Speech Commun., (2014)Thousands of voices for HMM-based speech synthesis., , , , , , , , , and 2 other author(s). INTERSPEECH, page 420-423. ISCA, (2009)Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data., , , and . INTERSPEECH, page 32-36. ISCA, (2018)Sentence-level control vectors for deep neural network speech synthesis., , and . INTERSPEECH, page 2217-2221. ISCA, (2015)Synthesis of Child Speech With HMM Adaptation and Voice Conversion., , , and . IEEE Trans. Speech Audio Process., 18 (5): 1005-1016 (2010)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)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)The role of higher-level linguistic features in HMM-based speech synthesis., , and . INTERSPEECH, page 841-844. ISCA, (2010)