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. Currently, the dataset only contains a few speech corpus from a few accents. Check for the list of available accent below.
The accents available within the dataset are represented by the standard ISO Codes for languages. For example,
ar represents Arabic accent, and zh represents Chinese accent.
Accents available
Arabic, Chinese, Hindi
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}
}