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VietMed dataset released for Vietnamese medical ASR

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced VietMed, a substantial new dataset and benchmark for Vietnamese medical Automatic Speech Recognition (ASR). This dataset is reportedly the largest of its kind globally, featuring 16 hours of labeled medical speech and over 1000 hours of unlabeled medical speech, alongside general-domain speech data. The project also releases pre-trained models, w2v2-Viet and XLSR-53-Viet, which demonstrate significant performance improvements in medical ASR, even outperforming state-of-the-art models without specific medical pre-training. AI

IMPACT This dataset and associated models could significantly advance Vietnamese medical ASR capabilities, potentially improving healthcare accessibility and efficiency in Vietnam.

RANK_REASON The cluster describes a new academic paper introducing a novel dataset and benchmark for a specific AI task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

VietMed dataset released for Vietnamese medical ASR

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The cluster describes a new academic paper introducing a novel dataset and benchmark for a specific AI task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Khai Le-Duc ·

    VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain

    arXiv:2404.05659v4 Announce Type: replace-cross Abstract: Due to privacy restrictions, there's a shortage of publicly available speech recognition datasets in the medical domain. In this work, we present VietMed - a Vietnamese speech recognition dataset in the medical domain comp…

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