---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: text_ga
    dtype: string
  - name: text_en
    dtype: string
  splits:
  - name: train
    num_bytes: 4209155993.0
    num_examples: 15090
  download_size: 3452146050
  dataset_size: 4209155993.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Details

Synthetic audio dataset, created using Azure text-to-speech service.
The bilingual text is a portion of the Wikimedia dataset, consisting of 7545 text segments.
The dataset comprises two sets of audio data, one with a female voice (OrlaNeural) and the other with a male voice (ColmNeural).
It includes more than 34 hours of audio data (34:23:12) for 15,090 utterances.


## Dataset Structure

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

## Citation

```
@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}
}
```