Open Speech and Language Resources



Crowdsourced high-quality Catalan speech data set.

Identifier: SLR69

Summary: Data set which contains recordings of Catalan.

Category: Speech

License: Attribution-ShareAlike 4.0 International

Downloads (use a mirror closer to you):
about.html [1.4K]   (Information about the data set )   Mirrors: [US]   [EU]   [CN]  
LICENSE [20K]   (License information for the data set )   Mirrors: [US]   [EU]   [CN]  
line_index_female.tsv [191K]   (All utterances for the female speakers. )   Mirrors: [US]   [EU]   [CN]  
line_index_male.tsv [160K]   (All utterances for the male speakers. )   Mirrors: [US]   [EU]   [CN]  
ca_es_female.zip [1.0G]   (Archive file with all audio for the female speakers. )   Mirrors: [US]   [EU]   [CN]  
ca_es_male.zip [804M]   (Archive file with all audio for the male speakers. )   Mirrors: [US]   [EU]   [CN]  

About this resource:

This data set contains transcribed high-quality audio of Catalan sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

See LICENSE file for license information.

Copyright 2018, 2019 Google, Inc.

If you use this data in publications, please cite it as follows:

  @inproceedings{kjartansson-etal-2020-open,
    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},
    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},
    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},
    year = {2020},
    pages = {21--27},
    month = may,
    address = {Marseille, France},
    publisher = {European Language Resources association (ELRA)},
    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},
    ISBN = {979-10-95546-35-1},
  }