自动测量和分类压力峰值在p-occlusions时通过口腔压力估计亚血球压力
Svante Granqvist1, Anna Lundblad2, Erika Bergström Börlin3
1Division of Speech and Language Pathology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.
Journal of voice : official journal of the Voice Foundation
|August 26, 2025
概括
一种新的自动化方法准确地测量口腔压力峰值以估计血球下压力,简化语音生成研究和临床评估.
科学领域:
- 语言科学
- 声学语音学
- 语音制作
背景情况:
- 脑下压力对语音产生至关重要,它会影响声音的响亮度,频率和语音障碍.
- 直接测量血球下压力是很困难的,通常通过口腔压力估计.
- 目前的估计方法是手动的,耗时的,并且取决于操作者.
研究的目的:
- 引入和评估一种用于测量和分类口腔压力峰值的新型自动化方法.
- 为了简化研究和临床环境中的血压估计.
主要方法:
- 一个自动化的算法检测口腔压力峰值,测量高度并分配质量评分.
- 结果与四位经验丰富的研究人员对120个山峰的手工测量和质量评级进行了比较.
主要成果:
- 自动化高峰测量与手动测量非常相匹配 (皮尔森相关性r > 0.99).
- 自动质量评分与人类评分中等程度一致 (平均r=0.52对比inter-raterr=0.67).
结论:
- 这种自动化方法为人类专家提供了非常准确的峰值高度测量和可比质量等级.
- 这种技术有可能取代手动评估,提高速度并确保操作者的独立性.
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