在口吃时发言:音节频率和单词长度对准确性和流性的影响
Alexandra Korzeczek1, Nicole E Neef2, Jana Wiechmann3
1Department of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Neuropsychologia
|October 17, 2025
概括
吃 (AWS) 的人在具有高频音节的伪词上显示出更多错误,与流利说话的人不同. 这表明在口吃语音的发言过程中,机器程序很脆弱.
科学领域:
- 语音和语言病理学 语言病理学
- 神经发育障碍 神经发育障碍
- 心理语言学 心理语言学
背景情况:
- 发育性口吃是一种言语流障碍,原因不明.
- 以前的研究表明,在口吃时,语音向运动翻译的缺陷存在.
- 流利说话者的音节频率效应暗示了电动程序的检索.
研究的目的:
- 为了研究成年人吃 (AWS) 的语音编码.
- 测试音节频率对AWS语音准确性和流性的影响.
- 为了比较AWS与流利地说话的控制 (FC).
主要方法:
- 使用了一个新的伪词重复任务.
- 伪词的长度和第一个音节的频率 (高/低) 不同.
- 在19个AWS和19个FC中测量了响应精度和口吃频率.
主要成果:
- 两个小组在较长的伪词上都犯了更多的错误.
- 亚马逊 (AWS) 显示,使用更长的伪词语时,口吃频率增加.
- 在AWS中发现了一个反向音节频率对准确性的影响,与FC不同.
结论:
- 音节频率没有影响AWS的语音流性.
- 在高频音节假词上,AWS产生了更多的错误,这表明机器程序检索中断了.
- 这表明口吃的成年人可能有脆弱的音节运动程序.
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