VITS, Tacotron or FastSpeech? Challenging Some of the Most Popular Synthesizers

Author:

Matoušek JindřichORCID,Tihelka DanielORCID,Tihelková AliceORCID

Publisher

Springer Nature Switzerland

Reference37 articles.

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3. Cho, H., Jung, W., Lee, J., Woo, S.H.: SANE-TTS: stable and natural end-to-end multilingual text-to-speech. In: Ko, H., Hansen, J.H.L. (eds.) 23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, 18–22 September 2022, pp. 1–5. ISCA (2022). https://doi.org/10.21437/Interspeech.2022-46

4. Delalez, S., Akue, L.: Neural TTS in French: comparing graphemic and phonetic inputs using the SynPaFlex-Corpus and Tacotron2 (2023)

5. Elias, I., et al.: Parallel Tacotron 2: a non-autoregressive neural TTS model with differentiable duration modeling. In: Proceedings of the Interspeech 2021, pp. 141–145 (2021). https://doi.org/10.21437/Interspeech.2021-1461

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1. Sentences vs Phrases in Neural Speech Synthesis;Lecture Notes in Computer Science;2024

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