---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: text_ga
    dtype: string
  - name: text_en
    dtype: string
  splits:
  - name: train
    num_bytes: 306559968.44649196
    num_examples: 3966
  download_size: 200660391
  dataset_size: 306559968.44649196
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
- text-to-speech
- translation
language:
- ga
- en
size_categories:
- 1K<n<10K
---

# Dataset Details

Synthetic audio dataset, created using Azure text-to-speech service.
The bilingual text is a portion of the Tatoeba dataset, consisting of 1,983 text segments.
The dataset consists of two sets of audio data, one with a female voice (OrlaNeural) and the other with a male voice (ColmNeural).
The speech data comprises approximately 2 hours and 39 minutes (02:39:31) spread across 3,966 utterances.


## Dataset Structure

```
Dataset({
    features: ['audio', 'text_ga', 'text_en'],
    num_rows: 3966
})
```

## Copyright

Please refer to the [Terms of Use](https://tatoeba.org/eng/terms_of_use) of Tatoeba project.


## Citations

* This speech dataset `Tatoeba-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 Tatoeba 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"
}

```