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The role of speech fidelity in the irrelevant sound effect: Insights from noise-vocoded speech backgrounds

机译:语音保真度在无关紧要的声音效果中的作用:噪声声学背景中的洞察力

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The Irrelevant Sound Effect (ISE) is the finding that background sound impairs accuracy for visually presented serial recall tasks. Among various auditory backgrounds, speech typically acts as the strongest distractor. Based on the changing-state hypothesis, speech is a disruptive background because it is more complex than other nonspeech backgrounds. In the current study, we evaluate an alternative explanation by examining whether the speech-likeness of the background (speech fidelity) contributes, beyond signal complexity, to the ISE. We did this by using noise-vocoded speech as a background. In Experiment 1, we varied the complexity of the background by manipulating the number of vocoding channels. Results indicate that the ISE increases with the number of channels, suggesting that more complex signals produce greater ISEs. In Experiment 2, we varied complexity and speech fidelity independently. At each channel level, we selectively reversed a subset of channels to design a low-fidelity signal that was equated in overall complexity. Experiment 2 results indicated that speech-like noise-vocoded speech produces a larger ISE than selectively reversed noise-vocoded speech. Finally, in Experiment 3, we evaluated the locus of the speech-fidelity effect by assessing the distraction produced by these stimuli in a missing-item task. In this task, even though noise-vocoded speech disrupted task performance relative to silence, neither its complexity nor speech fidelity contributed to this effect. Together, these findings indicate a clear role for speech fidelity of the background beyond its changing-state quality and its attention capture potential.
机译:无关声音效应(ISE)是指背景声音会影响视觉呈现的连续回忆任务的准确性。在各种听觉背景中,言语通常是最强的干扰因素。基于状态变化假设,语音是一种破坏性背景,因为它比其他非语音背景更复杂。在当前的研究中,我们通过检查背景的语音相似性(语音保真度)是否对ISE有贡献(信号复杂度除外),来评估另一种解释。我们使用噪声声码语音作为背景。在实验1中,我们通过控制声音编码通道的数量来改变背景的复杂度。结果表明,ISE随着通道数的增加而增加,表明更复杂的信号产生更大的ISE。在实验2中,我们独立地改变了复杂度和语音保真度。在每个通道级别,我们有选择地反转通道子集,以设计整体复杂度相等的低保真信号。实验2结果表明,类语音噪声声码语音比选择性反转噪声声码语音产生更大的ISE。最后,在实验3中,我们通过评估缺失项任务中这些刺激产生的分心来评估言语保真度效应的轨迹。在这项任务中,尽管噪声声码语音相对于静默干扰了任务性能,但其复杂性和语音保真度都没有造成这种影响。总之,这些研究结果表明,除了不断变化的状态质量和注意力捕捉潜力之外,背景的语音保真度还有一个明显的作用。

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