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DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus.

, , , , , , and . LREC, page 6438-6443. European Language Resources Association, (2020)

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A style control technique for singing voice synthesis based on multiple-regression HSMM., , , and . INTERSPEECH, page 378-382. ISCA, (2013)Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model., and . INTERSPEECH, page 4450-4454. ISCA, (2019)GPR-based Thai speech synthesis using multi-level duration prediction., , and . Speech Commun., (2018)An F0 modeling technique based on prosodic events for spontaneous speech synthesis., , and . ICASSP, page 4589-4592. IEEE, (2012)Generative Moment Matching Network-Based Neural Double-Tracking for Synthesized and Natural Singing Voices., , , , and . IEICE Trans. Inf. Syst., 103-D (3): 639-647 (2020)DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus., , , , , , and . LREC, page 6438-6443. European Language Resources Association, (2020)Emotion-Controllable Speech Synthesis Using Emotion Soft Labels and Fine-Grained Prosody Factors., , , , and . APSIPA ASC, page 794-799. IEEE, (2021)Investigating Effective Additional Contextual Factors in DNN-Based Spontaneous Speech Synthesis., , , , , , and . INTERSPEECH, page 3201-3205. ISCA, (2020)Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis., , , , , , and . INTERSPEECH, page 4551-4555. ISCA, (2022)Utterance-Level Sequential Modeling for Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit., and . ICASSP, page 7249-7253. IEEE, (2020)