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Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model.

, , и . INTERSPEECH, стр. 4412-4416. ISCA, (2020)

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Klaus Rob

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Другие публикации лиц с тем же именем

CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3331-3340. PMLR, (2019)MOS vs. AB: Evaluating Text-to-Speech Systems Reliably Using Clustered Standard Errors., , , и . INTERSPEECH, стр. 1090-1094. ISCA, (2023)LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech., , , , , , , и . INTERSPEECH, стр. 1526-1530. ISCA, (2019)Spectral Discrimination of Southern Victorian Salt Tolerant Vegetation., , и . ICDM, том 4065 из Lecture Notes in Computer Science, стр. 389-403. Springer, (2006)Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks., , , , , , , , , и 2 other автор(ы). INTERSPEECH, стр. 4571-4575. ISCA, (2022)Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model., , и . INTERSPEECH, стр. 4412-4416. ISCA, (2020)Importance of Human Factors in Text-To-Speech Evaluations., , и . SSW, стр. 27-33. ISCA, (2023)Improving Phonetic Realizations in its by Using Phoneme-Aligned Graphemes., , , , и . ICASSP, стр. 6077-6081. IEEE, (2022)Synthesizing variation in prosody for Text-to-Speech.. IberSPEECH, ISCA, (2018)StrawNet: Self-Training WaveNet for TTS in Low-Data Regimes., , и . INTERSPEECH, стр. 3550-3554. ISCA, (2020)