This repository contains data used in the NAACL 2021 Paper - Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems

Related tags

Text Data & NLP proteno
Overview

Proteno

This is the data release associated with the corresponding NAACL 2021 Paper - Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems (https://arxiv.org/abs/2104.07777)

Security

See CONTRIBUTING for more information.

License

This project is released under CC-BY-NC-4.0 and other licenses:

  • English: CC-BY-SA
  • Spanish: CC-BY-SA
  • Tamil: CC-BY-NC-SA

Citation

If you use our data, please cite the following paper:

@inproceedings{tyagi-etal-2021-proteno,
    title = "Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems",
    author = "Tyagi, Shubhi  and
      Bonafonte, Antonio  and
      Lorenzo-Trueba, Jaime  and
      Latorre, Javier",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-industry.10",
    pages = "72--79",
}
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