慢性肾脏病语音语料库

慢性肾脏病语音语料库是由首尔国立大学创建的，包含289名不同严重程度的慢性肾脏病（CKD）患者和14名非CKD患者的语音数据。该数据集用于病理语音分析、自动疾病识别和严重程度预测。数据集中的参与者根据估计的肾小球滤过率（eGFR）进行分类，并提供了持续元音、句子和段落刺激的语音样本。数据集的创建过程包括选择与语音相关的参数和语音列表以及录音技术。该数据集的应用领域主要集中在通过语音分析早期诊断和有效治疗慢性肾脏病。

The Chronic Kidney Disease (CKD) Speech Corpus was created by Seoul National University, comprising speech data from 289 patients with chronic kidney disease (CKD) at varying severity levels and 14 non-CKD individuals. This corpus is utilized for pathological speech analysis, automated disease identification, and severity prediction. Participants in the corpus are categorized based on estimated glomerular filtration rate (eGFR), and speech samples elicited via sustained vowels, sentences, and passages are provided. The development process of this corpus includes the selection of speech-related parameters, speech prompts, and recording techniques. The primary application domains of this corpus center on early diagnosis and effective treatment of chronic kidney disease through speech analysis.