在噪音中的语音识别过程中进行冲突监测的证据
Susan Teubner-Rhodes1, Andrew Luu2, Rebecca Dunterman2
1Department of Psychological Sciences, Auburn University, Auburn, AL, USA. teubner@auburn.edu.
Psychonomic bulletin & review
|November 22, 2023
概括
通过参与认知控制,困难的任务可以提高绩效. 这项研究表明,即使在控制关联式学习时,冲突解决也可以在杂的环境中提高单词识别.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 语音处理 语音处理
背景情况:
- 困难任务期间的冲突可以提高后续的绩效.
- 理论上,认知控制可以调节这些性能调整.
- 之前的研究已经质疑这个理论,因为关联式学习混.
研究的目的:
- 调查冲突后的绩效调整.
- 在图像-语言冲突任务中实验控制协会学习.
- 检查认知控制在在噪音中的语音识别过程中解决语音冲突中的作用.
主要方法:
- 在每次试验中,使用图片-语言冲突任务与新兴刺激.
- 参与者在观看图片 (一致或不一致) 时,在噪音中听和重复单词.
- 分析了性能,错误类型和潜在的混 (关联式学习,速度准确性权衡).
主要成果:
- 在不相符的试验 (语音邻居) 之后,单词识别得到了17%的改进.
- 在不一致的试验中观察到较高的语音冲突,由语音相关错误的增加表明.
- 性能改善与更好的语音冲突解决有关,而不是注意力变化.
结论:
- 研究结果支持冲突监测理论和认知控制的作用.
- 认知控制在语音识别过程中积极解决精神词汇中的语音冲突.
- 这项研究为反应性认知控制机制提供了新的证据.
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