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Terms and Conditions
By accessing and using this dataset, you agree to comply with all applicable laws and ethical standards regarding the protection of individual rights. Users are strictly prohibited from using the dataset in any way that infringes upon the rights, privacy, or dignity of any individual represented within it. Any misuse, including but not limited to attempts to engage in discriminatory, harmful, or unlawful activities, is expressly forbidden.
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Corpus description

Nos_ParlaSpeech-GL is an ASR corpus of more than 1,600 hours of automatically aligned speech and text, created from audio and official transcripts of Galician parliamentary sessions celebrated between 2015 and 2022. The content belongs to the Galician Parliament and the data is released according to their terms of use.

The corpus is split into two subcorpora, “clean” and “other”. The segments included in the “clean” subcorpus were filtered according to several alignment quality criteria, whereas the “other” subcorpus comprises the segments that were discarded in the filtering process. The details of both subcorpora can be found in the table below:

Subcorpus No. of hours No. of segments
clean 1196.92 667,308
other 477.71 130,332
Total 1674.63 797,64

For each subcorpora, we provide three splits: train, dev and test. Test and dev splits contain between 10 and 15 hours of audio, balanced by gender; whereas the train partition contains the rest of the audio segments. It must be noted that all the partitions have unique speakers, i.e., speakers from a partition do not appear in other partitions. The repository structure is as follows: the /data folder contains all the audio files, divided into clean and other, and also split into train, dev and test for each subcorpora. The /transcript folder follows the same structure, but it contains the metadata files. Each metadata file has the following fields:

  • "path": the name of the audio file.
  • "sentence": the transcript of the audio file.
  • "speaker_id": the ID of the speaker.
  • "gender": the gender of the speaker (M/F).
  • "birth_year": the birth year of the speaker.
  • "birth_place": the birth place of the speaker.

Disclaimer

We are not responsible for any inconsistencies in speaker identification that stem from misidentification in the original transcripts.

Funding and acknowledgements

This corpus was compiled in collaboration with VICOMTECH.

“The Nós project: Galician in the society and economy of Artificial Intelligence” is possible thanks to the funding resulting from the agreement 2021-CP080 between the Xunta de Galicia and the University of Santiago de Compostela, and thanks to the Investigo program, within the National Recovery, Transformation and Resilience Plan, within the framework of the European Recovery Fund (NextGenerationEU).

We would like to thank the Galician Parliament for their kind collaboration in providing the original data.

For more information, please go to nos.gal or contact the Nós project at [email protected].

Terms and Conditions

By accessing and using this dataset, you agree to comply with all applicable laws and ethical standards regarding the protection of individual rights. The dataset contains voice files, transcripts, and metadata, including participant identity information, provided solely for research and development purposes. Users are strictly prohibited from using the dataset in any way that infringes upon the rights, privacy, or dignity of any individual represented within it. Any misuse, including but not limited to attempts to engage in discriminatory, harmful, or unlawful activities, is expressly forbidden.

Citation information

The original version of this dataset, in STM and JSON formats and non-segmented audio, can be found in Zenodo.

If you use this version of the dataset, please cite as follows:

Carmen Magariños, Adrián Vidal Miguéns, Javier González Corbelle, Adina Ioana Vladu, Noelia García Díaz, Marta Vázquez Abuín, Ainhoa Vivel Couso, Daniel Bardanca, & Elisa Fernández Rei. (2024). Nos_Parlaspeech-GL

URL: https://huggingface.co./datasets/proxectonos/Nos_Parlaspeech-GL

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