|
|
--- |
|
|
dataset_info: |
|
|
features: |
|
|
- name: audio |
|
|
dtype: audio |
|
|
- name: ipa |
|
|
dtype: string |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: speaker_code |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 189132247.25 |
|
|
num_examples: 1894 |
|
|
- name: test |
|
|
num_bytes: 127608850.75 |
|
|
num_examples: 1266 |
|
|
download_size: 276755863 |
|
|
dataset_size: 316741098 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
license: cc-by-nc-4.0 |
|
|
task_categories: |
|
|
- automatic-speech-recognition |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- Argentina |
|
|
- Speech |
|
|
- IPA |
|
|
pretty_name: EpaDB |
|
|
size_categories: |
|
|
- 1K<n<10K |
|
|
--- |
|
|
|
|
|
# EpaDB |
|
|
EpaDB is a speech database of 50 native Spanish speakers (25 male, 25 female) from Argentina speaking English. |
|
|
It contains phonemic annotations using mainly the sounds supported by [ARPABet](https://en.wikipedia.org/wiki/ARPABET) with a few extensions to model Spanish influenced dialects of English. |
|
|
It was developed by Jazmin Vidal, Luciana Ferrer, and Leonardo Brambilla at the [Speech Lab](http://habla.dc.uba.ar/). Read more on their [official github](https://github.com/JazminVidal/EpaDB) and [paper](https://github.com/JazminVidal/EpaDB/blob/master/EpaDB%20-%20Paper.pdf). |
|
|
|
|
|
## This Processed Version |
|
|
We have processed the dataset into an easily consumable [Hugging Face dataset](https://huggingface.co/docs/datasets/en/index) using [this data processing script](https://github.com/KoelLabs/ML/blob/main/scripts/data_loaders/EpaDB.py). |
|
|
This maps the EpaDB phoneme annotations to [IPA](https://en.wikipedia.org/wiki/International_Phonetic_Alphabet) as supported by libraries like [ipapy](https://pypi.org/project/ipapy/0.0.1.0/) and [panphon](https://pypi.org/project/panphon/0.5/). |
|
|
We also correct the occasional typos or formatting inconsistencies. |
|
|
|
|
|
- The train set has 1894 samples (around 98 minutes of speech). |
|
|
- The test set has 1266 samples (around 66 minutes of speech). |
|
|
|
|
|
All audio has been converted to float32 in the -1 to 1 range at 16 kHz sampling rate. |
|
|
|
|
|
## Usage |
|
|
0. Request access to [this dataset](https://huggingface.co/datasets/KoelLabs/EpaDB) on the Hugging Face website. You will be automatically approved upon accepting the terms. |
|
|
1. `pip install datasets` |
|
|
2. [Login to Hugging Face](https://huggingface.co/docs/huggingface_hub/en/guides/cli#huggingface-cli-login) using `huggingface-cli login` with a token that has gated read access. |
|
|
3. Use the dataset in your scripts: |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
EpaDB = load_dataset("KoelLabs/EpaDB") |
|
|
train_ds = EpaDB['train'] |
|
|
test_ds = EpaDB['test'] |
|
|
|
|
|
sample = train_ds[0] |
|
|
print(sample) |
|
|
``` |
|
|
|
|
|
## License |
|
|
The original dataset is released under the CC BY-NC 4.0 license, a summary of the license can be found [here](https://creativecommons.org/licenses/by-nc/4.0/), and the full license can be found [here](https://creativecommons.org/licenses/by-nc/4.0/legalcode). |
|
|
This processed dataset follows the same license. |
|
|
|
|
|
For any usage that is not covered by the CC BY-NC 4.0 license, you must contact the [original dataset authors](https://github.com/JazminVidal/EpaDB?tab=readme-ov-file#license). |
