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Enhanced cognitive and perceptual processing: a computational basis for the musician advantage in speech learning

机译:增强的认知和感知处理:语音学习中音乐家优势的计算基础

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Long-term music training can positively impact speech processing. A recent framework developed to explain such cross-domain plasticity posits that music training-related advantages in speech processing are due to shared cognitive and perceptual processes between music and speech. Although perceptual and cognitive processing advantages due to music training have been independently demonstrated, to date no study has examined perceptual and cognitive processing within the context of a single task. The present study examines the impact of long-term music training on speech learning from a rigorous, computational perspective derived from signal detection theory. Our computational models provide independent estimates of cognitive and perceptual processing in native English-speaking musicians (n = 15, mean age = 25 years) and non-musicians (n = 15, mean age = 23 years) learning to categorize non-native lexical pitch patterns (Mandarin tones). Musicians outperformed non-musicians in this task. Model-based analyses suggested that musicians shifted from simple unidimensional decision strategies to more optimal multidimensional (MD) decision strategies sooner than non-musicians. In addition, musicians used optimal decisional strategies more often than non-musicians. However, musicians and non-musicians who used MD strategies showed no difference in performance. We estimated parameters that quantify the magnitude of perceptual variability along two dimensions that are critical for tone categorization: pitch height and pitch direction. Both musicians and non-musicians showed a decrease in perceptual variability along the pitch height dimension, but only musicians showed a significant reduction in perceptual variability along the pitch direction dimension. Notably, these advantages persisted during a generalization phase, when no feedback was provided. These results provide an insight into the mechanisms underlying the musician advantage observed in non-native speech learning.
机译:长期的音乐培训可以对语音处理产生积极影响。开发来解释这种跨域可塑性的最新框架认为,语音处理中与音乐训练相关的优势是由于音乐和语音之间共享的认知和感知过程。尽管已经独立证明了音乐训练带来的感知和认知加工优势,但迄今为止,还没有研究在单个任务的背景下检验感知和认知加工的优势。本研究从信号检测理论出发,从严格的计算角度考察了长期音乐训练对语音学习的影响。我们的计算模型为母语为英语的音乐家(n = 15,平均年龄= 25岁)和非音乐家(n = 15,平均年龄= 23岁)学习对非母语词汇进行分类提供了独立的认知和知觉处理估计。音高模式(普通话音调)。在此任务中,音乐家的表现要优于非音乐家。基于模型的分析表明,音乐家比非音乐家更快地从简单的一维决策策略转变为更优化的多维(MD)决策策略。此外,与非音乐家相比,音乐家更经常使用最佳决策策略。但是,使用MD策略的音乐家和非音乐家在表现上没有差异。我们估计了参数,这些参数可量化对音调分类至关重要的两个维度上的感知可变性的大小:音高和音高方向。音乐家和非音乐家都沿音高方向维度显示了感知变化,但只有音乐家沿音高方向维度显示了感知变化。值得注意的是,在没有提供反馈的情况下,这些优点在推广阶段仍然存在。这些结果提供了对在非母语语音学习中观察到的音乐家优势的潜在机制的见解。

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