估计压力和呼吸声从脑膜和光谱测量
Laura E Toles1, Olivia Murton2
1Department of Otolaryngology-Head and Neck, Voice Center, University of Texas Southwestern Medical Center, Dallas, TX.
脑膜峰突出 (CPP) 和光谱波幅差异 (H1-H2) 有效地区分典型的,呼吸和压力语音的发声. CPP和H1-H2的变化可能表明声功能发生了变化,而增加的CPP可能表明声高功能.
科学领域:
- 语音和听力科学 语言和听力科学
- 声学语音学的声音学
- 声乐教学的教育学
背景情况:
- 了解语音产生机制对于诊断和治疗语音障碍至关重要.
- 脑峰突出度 (CPP) 和光谱波幅差异 (H1-H2) 是对喉功能敏感的声学测量.
- 在临床评估中,区分典型声,呼吸声和压声声是很重要的.
研究的目的:
- 为了研究CPP和H1-H2如何与健康个体的压力和呼吸声的声音产生有所不同.
- 确定CPP和H1-H2是否能够有效地区分呼吸/压力和典型声调.
主要方法:
- 来自50名健康个体的声学语音录音,跨越了典型的,喘息和压力语音条件.
- 分析持续的元音和一个全声的句子.
- 计算每个条件的平均光滑CPP和H1-H2的计算.
- 使用混合ANOVA和多项逻辑回归的统计分析.
主要成果:
- 与连接语音中的典型语音相比,压力语音显示出更高的CPP和更低的H1-H2.
- 呼吸声学表现出较低的CPP和较高的H1-H2.
- 在大多数任务中,CPP和H1-H2都从典型的发音中显著区分了压力.
- 在控制强度时,CPP将呼吸与典型声调区分开来.
结论:
- CPP和H1-H2对发音模式的变化做出反应.
- 这些测量的个体内变化可能意味着声音功能发生变化.
- 升高的CPP,特别是在压力发音中,可能与声高功能有关.
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