用VOXplot进行临床语音质量分析的进展
Ben Barsties V Latoszek1, Jörg Mayer2, Christopher R Watts3
1Speech-Language Pathology, SRH University of Applied Health Sciences, 40210 Düsseldorf, Germany.
Journal of clinical medicine
|July 29, 2023
概括
本研究确定了声音质量的关键声学指标. 声与噪声比率 (HNR) 和音调扰动系数 (PPQ5) 检测出声,而光滑的头峰突出度 (CPPS) 和喉与噪声激发比率 (GNE) 检测出喘息.
科学领域:
- 语音和听力科学 语言和听力科学
- 声学分析 声学分析
- 声音障碍 声音障碍
背景情况:
- 感知和声学评估是语音质量评估的标准.
- 声学分析验证和解释语音质量的感知判断.
研究的目的:
- 为了确定感知声和喘息的最强的声学语音质量参数.
- 使用VOXplot软件分析持续的母音[a:] .
主要方法:
- 分析了来自有声障碍和没有声障碍的人的218个语音样本.
- 包括13个单个声学参数的感知和声学分析.
- 评估有效性与声和喘息的感知有关.
主要成果:
- 四个声学测量结果显示,与声或喘息有明显的关联.
- 声与噪声比 (HNR) 和音调扰动系数 (PPQ5) 与声相关.
- 滑的头顶峰突出 (CPPS) 和喉与噪音激发比 (GNE) 与呼吸困难相关.
结论:
- HNR和PPQ5强烈表明声,将其与呼吸困难区分开来.
- CPPS和GNE强烈表明气喘,将其与声区分开来.
- 这些声学测量为辨别语音品质提供了很高的信心.
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