You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

L2-ARCTIC Suitcase: a spontaneous non-native English speech corpus

L2-ARCTIC Suitcase Corpus contains English speech from 22 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 split the original 22 samples of varied lengths into 129 samples each between 10 and 12.5 seconds. We do this naturally at existing silences in the samples to preserve as much complete semantic meaning of each utterance and make it clear which portion of the transcriptions belong to which of the split samples.

NOTE: we have a cleaned version of the full L2-ARCTIC dataset as well which contains the original 22 samples with just the data cleaning.

  • The train set has 129 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

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

dataset = load_dataset("KoelLabs/L2ArcticSpontaneousSplit")
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}
}
Downloads last month
56

Models trained or fine-tuned on KoelLabs/L2ArcticSpontaneousSplit

Collection including KoelLabs/L2ArcticSpontaneousSplit