在分散注意力的情况下,对噪声引起的言语的感知学习
Han Wang1, Rongru Chen1, Yu Yan1
1Department of Speech, Hearing and Phonetic Sciences, University College London, London, UK.
Trends in hearing
|August 7, 2023
概括
语音感知学习,即理解退化的语言的能力,即使注意力被分割,也会持续下去. 这种学习并不严格依赖于一般领域或特定领域的认知过程.
科学领域:
- 认知科学 认知科学
- 听觉神经科学 听觉神经科学
- 心理语言学 心理语言学
背景情况:
- 感知学习增强了对听觉信号退化的语音感知.
- 理论上,注意力对于感知学习至关重要,特别是在预测编码框架内.
- 对于语音感知学习来说,是否需要完全注意,仍然是一个悬而未决的问题.
研究的目的:
- 调查分分注意力在语音感知学习中的作用.
- 要确定语音感知学习是否依赖于域一般或域特定的认知资源.
主要方法:
- 两项涉及336名参与者的在线实验评估了噪声编码句子的语音识别.
- 实验1使用不同难度的并发视觉任务操纵分分注意力.
- 实验2使用了针对特定域 (词汇,语音) 或域一般 (视觉) 过程的次要任务.
主要成果:
- 语音感知学习观察到注意力分裂,表现因并发任务的难度而受到缓解.
- 与轻松或中间视觉任务一起执行语音任务的参与者表现出与单任务组相比的学习.
- 即使是最具挑战性的视觉任务也导致了比单任务组更快的学习和类似的最终表现.
- 实验2中的所有次要任务条件都产生了与单个语音任务相比的学习效果.
结论:
- 语音感知学习很强大,即使注意力被分割,也会持续下去.
- 这些发现表明,语音感知学习并不严格依赖于完全的注意力或仅仅依赖于域一般或域特定的认知过程.
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