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@@ -35,6 +35,8 @@ task_categories:
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  - automatic-speech-recognition
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  language:
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  - en
 
 
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  license:
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  - cc-by-nc-sa-4.0
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  ---
@@ -57,7 +59,7 @@ license:
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  - **Homepage:** [UWB-ATCC corpus homepage](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0)
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  - **Repository:** [GitHub repository (used in research)](https://github.com/idiap/w2v2-air-traffic)
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  - **Paper:** [Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development](https://link.springer.com/article/10.1007/s10579-019-09449-5)
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-
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  ### Dataset Summary
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  - automatic-speech-recognition
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  language:
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  - en
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+ multilinguality:
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+ - monolingual
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  license:
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  - cc-by-nc-sa-4.0
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  ---
 
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  - **Homepage:** [UWB-ATCC corpus homepage](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0)
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  - **Repository:** [GitHub repository (used in research)](https://github.com/idiap/w2v2-air-traffic)
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  - **Paper:** [Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development](https://link.springer.com/article/10.1007/s10579-019-09449-5)
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+ - **Paper of this research:** [How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications](https://arxiv.org/abs/2203.16822)
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  ### Dataset Summary
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