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光谱形状简单和复杂变化的检测。

Detection of simple and complex changes of spectral shape.

作者信息

Bernstein L R, Green D M

机构信息

Department of Psychology, University of Florida, Gainesville 32611.

出版信息

J Acoust Soc Am. 1987 Nov;82(5):1587-92. doi: 10.1121/1.395147.

DOI:10.1121/1.395147
PMID:3693697
Abstract

In most of the previous studies (see Green, 1987) concerning the detection of a change in spectral shape, or "profile analysis," the listener's task was to detect an increment to a single component of an otherwise equal-amplitude, multicomponent background. An important theoretical issue is whether listeners' sensitivity to more complex spectral changes can be predicted from these results. In the present investigation, the sensitivity of a single group of listeners to a wide variety of simple and complex spectral changes was determined. After collecting the data, it was noted that almost all the thresholds could be predicted by a simple calculation scheme that assumed detection of a change in spectral shape occurs when the addition of the signal to the flat, multicomponent background produces a sufficient difference in level between only two regions of the spectrum. Unfortunately, this scheme, while successful for our limited set of data, fails to account for other "profile" data, namely, those obtained when the number of components is altered.

摘要

在之前大多数关于频谱形状变化检测(即“轮廓分析”)的研究中(见格林,1987年),听众的任务是检测在其他方面等幅的多成分背景中单个成分的增量。一个重要的理论问题是,能否从这些结果预测听众对更复杂频谱变化的敏感度。在本研究中,确定了一组听众对各种简单和复杂频谱变化的敏感度。收集数据后发现,几乎所有阈值都可以通过一种简单的计算方案预测,该方案假定当向平坦的多成分背景中添加信号时,仅在频谱的两个区域之间产生足够的电平差异,就会发生频谱形状变化的检测。不幸的是,该方案虽然对我们有限的数据集成功,但无法解释其他“轮廓”数据,即当成分数量改变时获得的数据。

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