Datasets:
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---
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}
}
```
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