Sensitivity to temporal structure facilitates perceptual analysis of complex auditory scenes.
Sensitivity to temporal structure facilitates perceptual analysis of complex auditory scenes.
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对时间结构的敏感有助于对复杂听觉场景的感知分析。
DOI：
10.1016/j.heares.2020.108111
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发表时间：
2021-03
期刊：
影响因子：
2.8
通讯作者：
Chait M
中科院分区：
文献类型：
--
作者：
Aman L;Picken S;Andreou LV;Chait M
感知依赖于对环境中可预测结构的敏感性。我们使用人工声学场景来研究这一听觉模式。听者跟踪多个并发声流的时间结构。对可预测结构的敏感性支持听觉场景分析，即使场景很复杂。即使听众没有意识到可预测的结构，也能观察到规律性的好处。对环境统计结构的敏感性是感知的关键，这一概念最近引起了相当大的关注。在这里，我们在听力的背景下研究这个问题。在之前的工作（elife）的基础上，刺激是由多个（多达14个）同步流（“听觉对象”）组成的人工“声景”，由音调-音调序列组成，每个都有不同的频率和振幅调制模式。序列要么是暂时规则的，要么是随机的。我们表明，当场景流以时间规则的波动模式为特征时，听众检测流突然出现或消失的能力得到了促进。变化流的规律性以及背景（不变）流的规律性分别对这种效应作出了贡献。值得注意的是，听众从规律中受益，即使他们没有意识到这一点。这些发现表明，对复杂声学场景的感知依赖于从多个并发流中自动提取的规则的详细表示的可用性。
Perception relies on sensitivity to predictable structure in the environment. We used artificial acoustic scenes to investigate this in the auditory modality. Listeners track the temporal structure of multiple concurrent acoustic streams. Sensitivity to predictable structure supports auditory scene analysis, even when scenes are complex. Benefit of regularity observed even when listeners are unaware of the predictable structure. The notion that sensitivity to the statistical structure of the environment is pivotal to perception has recently garnered considerable attention. Here we investigated this issue in the context of hearing. Building on previous work (; elife), stimuli were artificial ‘soundscapes’ populated by multiple (up to 14) simultaneous streams (‘auditory objects’) comprised of tone-pip sequences, each with a distinct frequency and pattern of amplitude modulation. Sequences were either temporally regular or random. We show that listeners’ ability to detect abrupt appearance or disappearance of a stream is facilitated when scene streams were characterized by a temporally regular fluctuation pattern. The regularity of the changing stream as well as that of the background (non-changing) streams contribute independently to this effect. Remarkably, listeners benefit from regularity even when they are not consciously aware of it. These findings establish that perception of complex acoustic scenes relies on the availability of detailed representations of the regularities automatically extracted from multiple concurrent streams.
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