---
license: apache-2.0
task_categories:
- automatic-speech-recognition
language:
- en
pretty_name: VerbaLex Voice
---
# VerbaLex Voice
## Summary
This dataset is a collection of speech from non-native English speakers. The dataset is imported from the [L2-Arctic dataset](https://psi.engr.tamu.edu/l2-arctic-corpus/).
Currently, the dataset only contains a few speech corpus from a few accents. Check for the list of available accent [below](#accents-available).

The accents available within the dataset are represented by the standard [ISO Codes for languages](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes). For example,
`ar` represents Arabic accent, and `zh` represents Chinese accent.

## Accents available
```Arabic, Chinese```

## Dataset structure
The dataset is configured into different accents within their respective audio and transcription folders. For example, ```audio/ar/``` are the audio files for Arabic accent,
and ```transcript/zh/``` are the transcription files for the Chinese accent.

Within the accent folders, there will be train and test splits for both the audio and transcription folders. 

## Citation information
```
@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}
}
```