
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}
}
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