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# VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain
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Please cite this paper: https://arxiv.org/abs/2404.05659
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# VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain
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## Description:
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We introduced a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech.
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To our best knowledge, VietMed is by far **the world’s largest public medical speech recognition dataset** in 7 aspects:
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total duration, number of speakers, diseases, recording conditions, speaker roles, unique medical terms and accents.
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VietMed is also by far the largest public Vietnamese speech dataset in terms of total duration.
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Additionally, we are the first to present a medical ASR dataset covering all ICD-10 disease groups and all accents within a country.
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Please cite this paper: https://arxiv.org/abs/2404.05659
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