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

, , , , , , и . LREC, стр. 6438-6443. European Language Resources Association, (2020)

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Tomoki Waragai

 

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Parametric speech synthesis using local and global sparse Gaussian processes., , и . MLSP, стр. 1-6. IEEE, (2014)On the Use of Extended Context for HMM-Based Spontaneous Conversational Speech Synthesis., , и . INTERSPEECH, стр. 2657-2660. ISCA, (2011)A comparison of speech synthesis systems based on GPR, HMM, and DNN with a small amount of training data., и . INTERSPEECH, стр. 3496-3500. ISCA, (2015)Conversational spontaneous speech synthesis using average voice model., , и . INTERSPEECH, стр. 853-856. ISCA, (2010)Transform mapping using shared decision tree context clustering for HMM-based cross-lingual speech synthesis., , , и . INTERSPEECH, стр. 770-774. ISCA, (2014)Accent type and phrase boundary estimation using acoustic and language models for automatic prosodic labeling., , , , и . INTERSPEECH, стр. 2337-2341. ISCA, (2014)Structured State Space Decoder for Speech Recognition and Synthesis., , и . ICASSP, стр. 1-5. IEEE, (2023)Utterance-Level Sequential Modeling for Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit., и . ICASSP, стр. 7249-7253. IEEE, (2020)Parametric speech synthesis based on Gaussian process regression using global variance and hyperparameter optimization., , и . ICASSP, стр. 3834-3838. IEEE, (2014)A speaker adaptation technique for Gaussian process regression based speech synthesis using feature space transform., , и . ICASSP, стр. 5610-5614. IEEE, (2016)