使用视觉模拟尺度进行听觉感知评估的严重程度截止范围
1Monmouth University, 400 Cedar Avenue, West Long Branch, NJ 07764.
Journal of voice : official journal of the Voice Foundation
|February 1, 2025
概括
这项研究建立了视觉模拟尺度 (VAS) 语音严重性的切断分数,帮助客观地评估语音质量. 这些发现为正常,轻度,中度和严重的声音品质提供了标准化的范围.
科学领域:
- 语音和听力科学 语言和听力科学
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 声学分析 声学分析
背景情况:
- 语音质量评估通常依赖于主观的感知评分.
- 需要标准化的客观措施来进行一致的临床评估.
- 视觉模拟尺度 (VAS) 和GRBAS尺度通常用于语音分析.
研究的目的:
- 通过使用100个单位的视觉模拟量表 (VAS) 来确定语音严重程度类别的客观切断分数.
- 为了将VAS分数与GRBAS规模的整体严重性,喘息,粗性和应变等等级相关联.
- 为语音质量评估提供临床相关的基准.
主要方法:
- 使用感知语音特质数据库 (PVQD) 进行回顾性,观察性,横截面研究.
- 分析了296个音频样本,由19名经验丰富的语音临床医生使用VAS和GRBAS尺度进行评分.
- 采用接收机运营商曲线 (ROC) 来确定VAS切断分数,灵敏度为90%和错误阳性率为10%.
主要成果:
- 已建立的VAS切断范围用于正常,轻度,中度和严重的声音质量,用于整体严重性,喘息和粗.
- 整体严重程度:正常 (0-15),轻度 (16-39),中度 (40-69),严重 (70-100).
- 气喘:正常 (0-14),轻度 (15-34),中度 (35-68),严重 (69-100). 气喘时间:正常 (0-14),轻度 (15-34),中度 (35-68),严重 (69-100). 气喘时间:正常 (0-14),轻度 (15-34),中度 (35-68),严重 (69-100). 粗度:正常 (0-13),轻度 (14-37),中度 (38-65),严重 (66-100). 其他情况
- 确定了正常菌株 (0-15) 的统计学上显著的切断值.
结论:
- 成功确定了与临床相关的VAS语音严重程度类别的切断值.
- 这些发现提高了患者与临床医生的沟通,并标准化了语音评估.
- 该研究有助于更客观和可重复的语音质量评估.
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