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LibriTTS

A popular text-based VC approach is to use an automatic speech recognition (ASR) model to extract phonetic posteriorgram (PPG) as content representation.

Data and Resources

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Cite this as

H. Zen, V. Dang, R. Clark, Y. Zhang, R. J. Weiss, Y. Jia, Z. Chen, Y. Wu (2024). Dataset: LibriTTS. https://doi.org/10.57702/nmo984po

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Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2308.04225
Citation
  • https://doi.org/10.48550/arXiv.2207.04834
  • https://doi.org/10.48550/arXiv.2407.12707
  • https://doi.org/10.48550/arXiv.2104.09995
  • https://doi.org/10.48550/arXiv.2104.00931
  • https://doi.org/10.48550/arXiv.2402.12423
  • https://doi.org/10.48550/arXiv.2002.01953
  • https://doi.org/10.48550/arXiv.2110.07537
  • https://doi.org/10.48550/arXiv.2306.10588
  • https://doi.org/10.48550/arXiv.2205.15370
  • https://doi.org/10.48550/arXiv.2406.05551
  • https://doi.org/10.1109/ICASSP48485.2024.10447699
  • https://doi.org/10.48550/arXiv.2210.15418
  • https://doi.org/10.48550/arXiv.2302.13700
  • https://doi.org/10.48550/arXiv.2211.16049
Author H. Zen
More Authors
V. Dang
R. Clark
Y. Zhang
R. J. Weiss
Y. Jia
Z. Chen
Y. Wu
Homepage https://libritts.github.io/