Sensitive quantification of cerebellar speech abnormalities: OpenSMILE

Objective, sensitive, and meaningful disease assessments are critical to support clinical trials and clinical care. Speech changes are one of the earliest and most evident manifestations of cerebellar ataxias. This data set contains features that be used to train models to identify and quantify clinical signs of ataxic speech. Though raw audio or spectorgrams cannot be release due to privacy concerns, this data set contains several OpenSMILE feature sets. Many labels, such as data collection dates and specific diagnoses, have been obfuscated or redacted to maintain privacy given the rarity of the diseases in the data.

客观、灵敏且兼具临床意义的疾病评估，对于支撑临床试验与临床诊疗工作至关重要。言语功能改变是小脑共济失调（cerebellar ataxias）最早且最显著的临床表现之一。本数据集包含可用于训练模型以识别并量化共济失调性言语临床体征的特征集。鉴于隐私保护相关考量，原始音频或语谱图（spectrograms）无法公开发布，但本数据集包含多组OpenSMILE特征集。考虑到数据中所涉及疾病的罕见性，为保护患者隐私，诸多标签（如数据采集日期、具体诊断结果）已进行模糊化处理或隐去。