Most sounds fluctuate in amplitude, but do listeners attend to the temporal structure of those fluctuations when trying to detect the mere presence of those sounds? This question was addressed by leading listeners to expect a faint sound with a fixed temporal structure (pulse train or steady-state tone) and total duration (300 ms) and measuring their ability to detect equally faint sounds of unexpected temporal structure (pulse train when expecting steady state) and/or total duration (<300 ms). Detection was poorer for sounds with unexpected than with expected total durations, replicating previous outcomes, but was uninfluenced by the temporal structure of the expected sound. The results disagree with computational predictions of the multiple-look model, which posits that listeners attend to both the total duration and temporal structure of the signal, but agree with predictions of the matched-window energy-detector model, which posits that listeners attend to the total duration but not the temporal structure of the signal. Moreover, the matched-window energy-detector model could also account for previous results, including some that were originally interpreted as supporting the multiple-look model. Taken together, at least when detecting faint sounds, listeners appear to attend to the total duration of expected sounds but to ignore their detailed temporal structure.

中文翻译：

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人类关注信号持续时间而不是声音检测的时间结构：稳态与脉冲序列信号

大多数声音的振幅都会波动，但是当试图检测这些声音的存在时，听众是否会注意这些波动的时间结构？解决这个问题的方法是：引导听众期待具有固定时间结构（脉冲串或稳态音调）和总持续时间 (300 ms) 的微弱声音，并测量他们检测出意外时间结构的同样微弱声音的能力（脉冲串，当预期稳定状态）和/或总持续时间（<300 毫秒）。与预期总持续时间相比，对意外声音的检测较差，复制了以前的结果，但不受预期声音的时间结构的影响。结果与多视模型的计算预测不一致，它假定听众注意信号的总持续时间和时间结构，但同意匹配窗口能量检测器模型的预测，该模型假定听众注意信号的总持续时间而不是时间结构。此外，匹配窗口能量检测器模型还可以解释以前的结果，包括一些最初被解释为支持多视模型的结果。总之，至少在检测微弱声音时，听者似乎关注预期声音的总持续时间，但忽略了它们详细的时间结构。匹配窗口能量检测器模型也可以解释以前的结果，包括一些最初被解释为支持多视模型的结果。总之，至少在检测微弱声音时，听者似乎关注预期声音的总持续时间，但忽略了它们详细的时间结构。匹配窗口能量检测器模型也可以解释以前的结果，包括一些最初被解释为支持多视模型的结果。总之，至少在检测微弱声音时，听者似乎关注预期声音的总持续时间，但忽略了它们详细的时间结构。