VietMed

VietMed是一个专为越南语医疗领域设计的自动语音识别数据集，由多伦多大学的Khai Le-Duc创建。该数据集包含16小时的标记医疗语音，1000小时的未标记医疗语音和1200小时的未标记通用领域语音。VietMed是目前世界上最大的公开医疗语音识别数据集，涵盖了总时长、发言人数量、疾病种类、录音条件、发言人角色、独特的医疗术语和口音等七个方面。此外，VietMed也是目前最大的公开越南语语音数据集。该数据集的创建旨在解决越南语医疗领域自动语音识别资源的稀缺问题，并推动相关技术的发展。

VietMed is an automatic speech recognition dataset specifically designed for the Vietnamese medical domain, created by Khai Le-Duc from the University of Toronto. This dataset includes 16 hours of labeled medical speech, 1000 hours of unlabeled medical speech, and 1200 hours of unlabeled general-domain speech. VietMed is currently the world's largest publicly available medical speech recognition dataset, covering seven aspects: total duration, number of speakers, disease categories, recording conditions, speaker roles, unique medical terminology, and accents. Additionally, VietMed is also the largest publicly available Vietnamese speech dataset to date. The creation of this dataset aims to address the scarcity of automatic speech recognition resources in the Vietnamese medical field and promote the development of related technologies.