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--- |
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license: apache-2.0 |
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task_categories: |
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- automatic-speech-recognition |
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language: |
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- en |
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pretty_name: VerbaLex Voice |
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--- |
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# VerbaLex Voice |
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## Summary |
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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/). |
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Currently, the dataset only contains a few speech corpus from a few accents. Check for the list of available accent [below](#accents-available). |
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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, |
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`ar` represents Arabic accent, and `zh` represents Chinese accent. |
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## Accents available |
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```Arabic, Chinese``` |
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## Dataset structure |
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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, |
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and ```transcript/zh/``` are the transcription files for the Chinese accent. |
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Within the accent folders, there will be train and test splits for both the audio and transcription folders. |
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## Citation information |
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``` |
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@inproceedings{zhao2018l2arctic, |
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author={Guanlong {Zhao} and Sinem {Sonsaat} and Alif {Silpachai} and Ivana {Lucic} and Evgeny {Chukharev-Hudilainen} and John {Levis} and Ricardo {Gutierrez-Osuna}}, |
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title={L2-ARCTIC: A Non-native English Speech Corpus}, |
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year=2018, |
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booktitle={Proc. Interspeech}, |
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pages={2783–2787}, |
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doi={10.21437/Interspeech.2018-1110}, |
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url={http://dx.doi.org/10.21437/Interspeech.2018-1110} |
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} |
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``` |
