一个多变量模型,包括用于评估声音粗度的亚声调测量.
Itsuki Kitayama1, Kiyohito Hosokawa2,3, Shinobu Iwaki4
1Department of Otorhinolaryngology and Head & Neck Surgery, The University of Osaka Graduate School of Medicine, Suita-city, Osaka, Japan.
NPJ digital medicine
|May 20, 2025
概括
这项研究引入了一种新的声学粗度指数 (ARI),以客观地测量声音粗度,这是声的关键因素. ARI准确量化了粗度,有助于临床声评估.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 语音科学 语言科学
- 声学 声学 声学 声学
背景情况:
- 声的评估依赖于语音质量评估.
- 准确地听觉感知声音粗的判断仍然是一个挑战.
- 声音粗是声的主要组成部分.
研究的目的:
- 开发一个多变量声学模型来量化声音粗度.
- 引入一种新的声学粗度指数 (ARI),用于客观地评估声音粗度.
- 建立一个可靠的指数,用于临床声评估.
主要方法:
- 开发了一个定制的基本频率 (fo) 估计算法.
- 设计了用于分类和量化亚声调的新参数.
- 将这些参数集成到声学粗度指数 (ARI) 中.
主要成果:
- 新的参数有效地分类和量化亚声调.
- 该ARI表现出高的诊断准确性,用于声部粗.
- ARI显示与听觉感知粗度评级有很强的相关性.
结论:
- 开发的多变量声学模型准确量化了声音粗度.
- 声学粗度指数 (ARI) 是评估声音粗度的强大工具.
- 艾瑞增强了对声的临床评估.
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