慢性肾脏病语音语料库
A speech corpus for chronic kidney disease
摘要：
在这项研究中，我们提出了一个语音语料库的慢性肾脏疾病（CKD）患者，将用于病理语音分析，自动疾病识别和严重程度预测的研究。本文介绍了建立该语料库的步骤，包括语音相关参数和语音列表的选择以及录音技术。在这个语料库中的发言者，289例CKD患者的严重程度不同，根据估计的肾小球滤过率（eGFR）进行分类，提供持续的元音，句子和段落刺激。本研究比较分析了CKD患者与对照组的嗓音特征，结果显示在音质、音素水平发音、韵律、声门源和空气动力学参数方面存在差异。
英文摘要：
In this study, we present a speech corpus of patients with chronic kidney disease (CKD) that will be used for research on pathological voice analysis, automatic illness identification, and severity prediction. This paper introduces the steps involved in creating this corpus, including the choice of speech-related parameters and speech lists as well as the recording technique. The speakers in this corpus, 289 CKD patients with varying degrees of severity who were categorized based on estimated glomerular filtration rate (eGFR), delivered sustained vowels, sentence, and paragraph stimuli. This study compared and analyzed the voice characteristics of CKD patients with those of the control group; the results revealed differences in voice quality, phoneme-level pronunciation, prosody, glottal source, and aerodynamic parameters.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
