metadata

dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: ipa
      dtype: string
    - name: text
      dtype: string
    - name: speaker_code
      dtype: string
    - name: speaker_gender
      dtype: string
    - name: speaker_native_language
      dtype: string
  splits:
    - name: spontaneous
      num_bytes: 50149148
      num_examples: 22
    - name: scripted
      num_bytes: 422723463.125
      num_examples: 3599
  download_size: 472586072
  dataset_size: 472872611.125
configs:
  - config_name: default
    data_files:
      - split: spontaneous
        path: data/spontaneous-*
      - split: scripted
        path: data/scripted-*
license: cc-by-nc-4.0
task_categories:
  - automatic-speech-recognition
language:
  - en
tags:
  - Speech
  - IPA
  - Arabic
  - Mandarin
  - Spanish
  - Hindi
  - Vietnamese
  - Korean
pretty_name: L2-ARCTIC
size_categories:
  - 1K<n<10K

L2-ARCTIC: a non-native English speech corpus

L2-ARCTIC contains English speech from 24 non-native speakers of Vietnamese, Korean, Mandarin, Spanish, Hindi, and Arabic backgrounds. It contains phonemic annotations using the sounds supported by ARPABet. It was compiled by researchers at Texas A&M University and Iowa State University. Read more on their official website.

This Processed Version

We have processed the dataset into an easily consumable Hugging Face dataset using this data processing script. This maps the phoneme annotations to IPA as supported by libraries like ipapy and panphon. We also correct typos, malformatted annotation files, and remove non-expert verified samples.

The scripted set has 3599 samples (around 220 minutes of speech read from CMU's ARCTIC prompts).
The spontaneous "suitcase" set has 22 longer samples (around 26 minutes of un-scripted 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

dataset = load_dataset("KoelLabs/L2Arctic")
spontaneous_ds = dataset['spontaneous']
scripted_ds = dataset['scripted']

sample = scripted_ds[0]
print(sample)

License

The original dataset is released under the Creative Commons Attribution Non Commercial 4.0, 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 this license, please contact the dataset authors. Please also cite their paper if you use L2-ARCTIC for any publications,

@inproceedings{zhao2018l2arctic,
    author={Guanlong {Zhao} and Sinem {Sonsaat} and Alif {Silpachai} and Ivana {Lucic} and Evgeny {Chukharev-Hudilainen} and John {Levis} and Ricardo {Gutierrez-Osuna}},
    title={L2-ARCTIC: A Non-native English Speech Corpus},
    year=2018,
    booktitle={Proc. Interspeech},
    pages={2783–2787},
    doi={10.21437/Interspeech.2018-1110},
    url={http://dx.doi.org/10.21437/Interspeech.2018-1110}
}