在语音评估期间自我感知语音质量和声学测量的生态有效性:对教师教师的观察研究
Daniel Rodríguez1,2, Marco Guzman3, Pedro Brito4
1Department of Therapeutic Processes, Universidad Católica de Temuco, Chile.
Journal of speech, language, and hearing research : JSLHR
|December 19, 2024
概括
传统的语音评估缺乏生态有效性. 干扰和噪音显著改变了语音质量和声学测量,这表明当前的方法并不反映现实世界的声乐表现.
科学领域:
- 语音语言病理学 语言病理学
- 声学分析 声学分析
- 人与计算机的互动.
背景情况:
- 传统的语音评估通常发生在受控,安静的环境中.
- 这些评估在代表现实世界的声音需求方面的生态有效性是可疑的.
- 在现实的条件下了解声乐表现对于准确的诊断和治疗至关重要.
研究的目的:
- 调查传统语音评估的生态有效性.
- 为了比较传统与模拟杂和分散注意力的环境中的自我感知语音质量和声学特征.
- 确定不同程度的视觉干扰和噪音对语音产生的影响.
主要方法:
- 42名大学教授参与了这项研究.
- 参与者在四个条件下产生了响亮的连接语音:常规评估和三个虚拟现实课堂模拟,噪音水平增加 (40,60,70dB).
- 测量包括自我感知 (语音努力,轻松) 和声学参数 (SPL,基本频率,光谱比率,头突出).
主要成果:
- 视觉分心和噪音水平显著影响了主观和声学语音测量.
- 大多数语音测量都随着分心和噪音水平的提高而增加.
- 1/5-5/8的比率显示出一个下降的趋势与增加的分心和噪音.
结论:
- 传统的语音评估可能不会准确地反映现实世界的声乐表现,因为没有分心和噪音.
- 视觉分心和噪音显著影响感知和声学测量的语音特征.
- 研究结果强调,需要在语音评估中采用更加生态有效的方法,以提高诊断准确度.
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