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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: ipa |
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dtype: string |
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- name: speaker_code |
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dtype: string |
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- name: speaker_gender |
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dtype: string |
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- name: speaker_native_language |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 44466139 |
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num_examples: 129 |
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download_size: 44312132 |
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dataset_size: 44466139 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: cc-by-nc-4.0 |
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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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tags: |
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- Speech |
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- IPA |
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- Arabic |
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- Mandarin |
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- Spanish |
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- Hindi |
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- Vietnamese |
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- Korean |
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pretty_name: L2-ARCTIC Suitcase |
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size_categories: |
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- 1K<n<10K |
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--- |
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# L2-ARCTIC Suitcase: a spontaneous non-native English speech corpus |
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L2-ARCTIC Suitcase Corpus contains English speech from 22 non-native speakers |
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of Vietnamese, Korean, Mandarin, Spanish, Hindi, and Arabic backgrounds. |
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It contains phonemic annotations using the sounds supported by [ARPABet](https://en.wikipedia.org/wiki/ARPABET). |
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It was compiled by researchers at [Texas A&M University](http://www.tamu.edu/) and [Iowa State University](http://www.iastate.edu/). |
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Read more on [their official website](https://psi.engr.tamu.edu/l2-arctic-corpus/). |
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## This Processed Version |
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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). |
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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/). |
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We also correct typos, malformatted annotation files, and split the original 22 samples of varied lengths into 129 samples each between 10 and 12.5 seconds. |
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We do this naturally at existing silences in the samples to preserve as much complete semantic meaning of each utterance and make it clear |
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which portion of the transcriptions belong to which of the split samples. |
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**NOTE**: we have a [cleaned version of the full L2-ARCTIC](https://huggingface.co/datasets/KoelLabs/L2Arctic) dataset as well which contains the original 22 samples with just the data cleaning. |
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- The train set has 129 samples (around 26 minutes of un-scripted speech). |
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All audio has been converted to float32 in the -1 to 1 range at 16 kHz sampling rate. |
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## Usage |
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0. Request access to [this dataset](https://huggingface.co/datasets/KoelLabs/L2ArcticSpontaneousSplit) on the Hugging Face website. You will be automatically approved upon accepting the terms. |
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1. `pip install datasets` |
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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. |
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3. Use the dataset in your scripts: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("KoelLabs/L2ArcticSpontaneousSplit") |
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spontaneous_ds = dataset['spontaneous'] |
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scripted_ds = dataset['scripted'] |
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sample = scripted_ds[0] |
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print(sample) |
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``` |
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## License |
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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). |
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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/). |
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Please also cite their paper if you use L2-ARCTIC for any publications, |
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```bibtex |
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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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``` |
