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Assessing Speaker Interpolation in Neural Text-to-Speech.

, , , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 360-371. Springer, (2021)

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Towards Achieving Robust Universal Neural Vocoding., , , , , , , and . INTERSPEECH, page 181-185. ISCA, (2019)Cross-language synthesis with a polyglot synthesizer., , and . INTERSPEECH, page 1477-1480. ISCA, (2005)Effect of data reduction on sequence-to-sequence neural TTS., , , , , , and . CoRR, (2018)Polyglot Synthesis Using a Mixture of Monolingual Corpora., , and . ICASSP (1), page 1-4. IEEE, (2005)Effect of Data Reduction on Sequence-to-sequence Neural TTS., , , , , , and . ICASSP, page 7075-7079. IEEE, (2019)Training a supra-segmental parametric F0 model without interpolating F0., , , and . ICASSP, page 6880-6884. IEEE, (2013)Continuous F0 in the source-excitation generation for HMM-based TTS: Do we need voiced/unvoiced classification?, , , , , , and . ICASSP, page 4724-4727. IEEE, (2011)Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems., , , and . NAACL-HLT (Industry Papers), page 72-79. Association for Computational Linguistics, (2021)Multilevel parametric-base F0 model for speech synthesis., and . INTERSPEECH, page 2274-2277. ISCA, (2008)Combining speakers of multiple languages to improve quality of neural voices., , , , and . CoRR, (2021)