NeuroVoz:一个卡斯蒂利亚语西班牙语的帕金森语的语音集
Janaína Mendes-Laureano1, Jorge A Gómez-García1, Alejandro Guerrero-López1
1Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
Scientific data
|December 18, 2024
概括
这项研究介绍了NeuroVoz集体,这是一个新的西班牙数据集,用于帕金森病 (PD) 语音查. 它有助于可重现的研究,并在PD检测中实现了89%的准确性.
科学领域:
- 神经学 神经学
- 语音语言病理学 语言病理学
- 计算语言学 计算语言学
背景情况:
- 多语言语音数据集的有限可用性阻碍了帕金森病 (PD) 的研究和可复制性.
- 现有的PD语音分析研究需要多样化,注释良好的数据集来验证和推进.
研究的目的:
- 介绍NeuroVoz语料库,一个新的数据集的卡斯蒂利亚语和西班牙语的演讲从个人和没有PD.
- 为研究PD对语音产生的影响和开发诊断工具提供全面的资源.
- 促进可重现的研究和进一步探索基于语音的PD查领域.
主要方法:
- 收集了来自112名加斯蒂利亚语-西班牙语母语者 (58名健康对照,54名患有PD) 在ON药物状态下进行的语音录音.
- 包括多样化的语音任务:持续的元音,diadochokinetic测试,听和重复的发言,和自发的独白.
- 声学数据补充了专家主观语音质量评估 (GRBAS尺度) 和详细的语音和声谱注释.
主要成果:
- NeuroVoz集体支持的研究达到89%的基准准确度,用于PD查.
- 该数据集为分析与帕金森病相关的特定语言障碍提供了丰富的数据.
- 初步分析表明,该集体在推进PD语音分析方面具有实用性.
结论:
- NeuroVoz集体代表了科学界研究帕金森病和语音的重要资源.
- 这个数据集的可用性解决了PD研究的多语言语音数据的关键缺口.
- 需要进一步的研究,以解决帕金森症语音模式的语言不可知性,跨体分析.
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