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Thousands of voices for HMM-based speech synthesis., , , , , , , , , and 2 other author(s). INTERSPEECH, page 420-423. ISCA, (2009)Deep neural network context embeddings for model selection in rich-context HMM synthesis., , , , and . INTERSPEECH, page 2207-2211. ISCA, (2015)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. Audio, Speech & Language Processing, 18 (5): 1005-1016 (2010)From HMMS to DNNS: Where do the improvements come from?, , , , and . ICASSP, page 5505-5509. IEEE, (2016)Statistical parametric speech synthesis for Ibibio., , , , and . Speech Communication, (2014)Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data., , , and . INTERSPEECH, page 32-36. ISCA, (2018)The role of higher-level linguistic features in HMM-based speech synthesis., , and . INTERSPEECH, page 841-844. ISCA, (2010)Unsupervised Continuous-Valued Word Features for Phrase-Break Prediction without a Part-of-Speech Tagger., , and . INTERSPEECH, page 2157-2160. ISCA, (2011)Using adaptation to improve speech transcription alignment in noisy and reverberant environments., , , , , , and . SSW, page 41-46. ISCA, (2013)