metadata

dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: text_ga
      dtype: string
    - name: text_en
      dtype: string
  splits:
    - name: train
      num_bytes: 4209155993
      num_examples: 15090
  download_size: 3452146050
  dataset_size: 4209155993
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-sa-4.0
task_categories:
  - automatic-speech-recognition
  - text-to-speech
  - translation
language:
  - ga
  - en
size_categories:
  - 10K<n<100K

Dataset Details

Synthetic audio dataset, created using Azure text-to-speech service. The bilingual text is a portion of the Wikimedia dataset, consisting of 7,545 text segments. The dataset includes two sets of audio data, one with a female voice (OrlaNeural) and the other with a male voice (ColmNeural). The speech data comprises approximately 34 hours and 23 minutes (34:23:12) spread across 15,090 utterances.

Dataset Structure

Dataset({
    features: ['audio', 'text_ga', 'text_en'],
    num_rows: 15090
})

Citations

The speech dataset Wikimedia-Speech-Irish was created and introduced as part of the following paper:

@inproceedings{moslem2024leveraging,
  title={Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation},
  author={Moslem, Yasmin},
  booktitle={Proceedings of the 2024 International Conference on Spoken Language Translation (IWSLT 2024)},
  year={2024},
  month={April},
  url={https://arxiv.org/abs/2406.17363},
  address={Bangkok, Thailand}
}

The original Wikimedia bilingual text dataset was collected by the OPUS project, introduced in the following paper:


@INPROCEEDINGS{Tiedemann2012-OPUS,
  title     = "{Parallel Data, Tools and Interfaces in {OPUS}}",
  booktitle = "{Proceedings of the Eighth International Conference on Language
               Resources and Evaluation ({LREC}'12)}",
  author    = "Tiedemann, J{\"o}rg",
  publisher = "European Language Resources Association (ELRA)",
  pages     = "2214--2218",
  month     =  may,
  year      =  2012,
  url       = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
  address   = "Istanbul, Turkey"
}