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@@ -5,18 +5,33 @@ task_categories:
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  language:
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  - en
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  pretty_name: VerbaLex Voice
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- configs:
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- - config_name: ar
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- data_files:
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- - split: train
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- path: "audio/ar/ar_train.tar"
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- - split: test
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- path: "audio/ar/ar_test.tar"
 
 
 
 
 
 
 
 
 
 
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- - config_name: zh
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- data_files:
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- - split: train
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- path: "audio/zh/zh_train.tar"
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- - split: test
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- path: "audio/zh/zh_test.tar"
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- ---
 
 
 
 
 
 
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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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+
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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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+
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+ ## Accents available
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+ ```Arabic, Chinese```
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+
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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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+
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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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+ ```