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Change detection in complex auditory scenes is predicted by auditory memory, pitch perception, and years of musical training

机译:通过听觉记忆,俯仰感知和多年的音乐训练来预测复杂听觉场景中的变更检测

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摘要

Our world is a sonically busy place and we use both acoustic information and experience-based knowledge to make sense of the sounds arriving at our ears. The knowledge we gain through experience has the potential to shape what sounds are prioritized in a complex scene. There are many examples of how visual expertise influences how we perceive objects in visual scenes, but few studies examine how auditory expertise is associated with attentional biases toward familiar real-world sounds in complex scenes. In the current study, we investigated whether musical expertise is associated with the ability to detect changes to real-world sounds in complex auditory scenes, and whether any such benefit is specific to musical instrument sounds. We also examined whether change detection is better for human-generated sounds in general or only communicative human sounds. We found that musicians had less change deafness overall. All listeners were better at detecting human communicative sounds compared to human non-communicative sounds, but this benefit was driven by speech sounds and sounds that were vocally generated. Musical listening skill, speech-in-noise, and executive function abilities were used to predict rates of change deafness. Auditory memory, musical training, fine-grained pitch processing, and an interaction between training and pitch processing accounted for 45.8% of the variance in change deafness. To better understand perceptual and cognitive expertise, it may be more important to measure various auditory skills and relate them to each other, as opposed to comparing experts to non-experts.
机译:我们的世界是一个超声繁忙的地方,我们使用声学信息和基于体验的知识来理解到达我们耳朵的声音。我们通过经验获得的知识有可能塑造声音在复杂的场景中优先考虑的声音。有许多例子是视觉专业知识如何影响我们在视觉场景中的对象,但很少有研究审查了听觉专业知识在复杂的场景中对熟悉的真实声音有何相关联的偏见。在目前的研究中,我们调查了音乐专业知识是否与在复杂的听觉场景中检测到现实世界声音的变化的能力相关,以及是否有任何此类益处是特定于乐器的声音。我们还检查了变更检测是否适合人类生成的声音,或者只有交际的人类声音。我们发现音乐家整体的变化较小。与人类非交流声音相比,所有听众都更好地检测人类交流声音,但这种好处是由声音和声音产生的声音驱动的。音乐听力技能,噪音和行政功能能力用于预测变化耳聋的速度。听觉记忆,音乐训练,细粒度的音高处理,以及训练与俯仰处理之间的相互作用占变耳差异的45.8%。为了更好地了解感知和认知的专业知识,衡量各种听觉技能并相互联系它们可能更为重要,而不是将专家与非专家比较。

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