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

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

DOI retrieved: December 2, 2024

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/