在口吃的成年人中听觉改变的言语的感知:使用贝叶斯分析方法的初步发现
Dhatri S Devaraju1, Santosh Maruthy2, Ajith Kumar Uppunda3
1Speech Perception and Auditory Neuroscience Lab, Department of Communication Sciences and Disorders, University of Wisconsin - Madison, Madison, USA.
Journal of fluency disorders
|November 28, 2025
概括
吃的成年人 (AWS) 在噪音中表现出语音感知障碍,可能是由于时间处理缺陷. 然而,他们感知句子幻象的能力与不口吃的成年人 (AWNS) 相似.
科学领域:
- 语音和听力科学 语言和听力科学
- 神经科学是一个神经科学.
- 语言学的语言学.
背景情况:
- 语受语音和时间处理的影响.
- 在具有挑战性的条件下,有效的语音感知依赖于语音元素的时间处理和权重.
- 退化的语音输入可能会对成年口吃者 (AWS) 的语音感知和语音产生产生负面影响.
研究的目的:
- 在两个声学降低的环境中调查成年人口吃 (AWS) 的语音感知.
- 为了比较AWS和不口吃的成年人 (AWNS) 在噪音和模拟化条件下的语音感知能力.
主要方法:
- 22名参与者 (11个AWS,11个AWNS) 完成了语音感知任务.
- 使用了两个退化条件:听觉噪音和句子合体化.
- 贝叶斯分析比较了SNR-50 (噪音) 和可理解性得分 (嵌合体) 在不同组之间.
主要成果:
- 与AWNS相比,AWS在噪音中表现出明显较差的语音感知.
- 在AWS和AWNS之间没有观察到句子幻象感知的显著差异.
结论:
- 初步发现表明,AWS中时间细结构感知可能存在缺陷,影响噪音中的语音感知.
- 这些缺陷可能会增加对AWS语音处理和更高认知功能的需求.
- 需要进一步的研究来探索听觉表示问题对AWS日常沟通的影响.
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