README.md

---
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](https://en.wikipedia.org/wiki/ARPABET).
It was compiled by researchers at [Texas A&M University](http://www.tamu.edu/) and [Iowa State University](http://www.iastate.edu/).
Read more on [their official website](https://psi.engr.tamu.edu/l2-arctic-corpus/).

## 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/L2ARCTIC.py).
This maps the 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 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](http://festvox.org/cmu_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
0. Request access to [this dataset](https://huggingface.co/datasets/KoelLabs/L2Arctic) 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

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](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 this license, please contact [the dataset authors](https://psi.engr.tamu.edu/l2-arctic-corpus/).
Please also cite their paper if you use L2-ARCTIC for any publications,

```bibtex
@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}
}
```