metadata

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 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. Read more on their official github and paper.

This Processed Version

We have processed the dataset into an easily consumable Hugging Face dataset using this data processing script. This maps the EpaDB phoneme annotations to IPA as supported by libraries like ipapy and panphon. 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

Request access to this dataset on the Hugging Face website. You will be automatically approved upon accepting the terms.
pip install datasets
Login to Hugging Face using huggingface-cli login with a token that has gated read access.
Use the dataset in your scripts:

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, and the full license can be found here. 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.