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窄带声音的频谱形状辨别

Spectral shape discrimination of narrow-band sounds.

作者信息

Green D M, Berg B G, Dai H, Eddins D A, Onsan Z, Nguyen Q

机构信息

Psychology Department, University of Florida, Gainesville 32611.

出版信息

J Acoust Soc Am. 1992 Nov;92(5):2586-97. doi: 10.1121/1.404431.

Abstract

Measurements are reported on the detectability of signals added to narrow-band sounds. The narrow-band sounds had a bandwidth of 20 Hz and were either Gaussian noise with flat amplitude spectra or sets of equal-amplitude sinusoidal components whose phases were chosen at random. Four different kinds of sinusoidal signals were used. Two signals produced symmetric changes in the audio spectrum adding a component either at the center of the spectrum or at both ends. The other two signals produced asymmetric changes adding a component at either end of the spectrum. The overall level of the sound was randomly varied on each presentation, so that the presence of a signal was largely unrelated to the absolute level of the signal component(s). A model is proposed that assumes the detection of the symmetric signals is based on changes in the shape of the power spectrum of the envelope. Such changes in the envelope power spectrum are probably heard as changes in the "roughness" or "smoothness" of the narrow-band sound. The predictions of this model were obtained from computer simulations. For the asymmetric signals, the most probable detection cues were changes in the pitch of the narrow-band sound. Results from a variety of different experiments using three listeners support these conjectures.

摘要

报告了关于添加到窄带声音中的信号可检测性的测量结果。窄带声音的带宽为20Hz,要么是具有平坦幅度谱的高斯噪声,要么是等幅正弦分量的集合,其相位是随机选择的。使用了四种不同类型的正弦信号。两种信号在音频频谱中产生对称变化,在频谱中心或两端添加一个分量。另外两种信号产生不对称变化,在频谱的一端添加一个分量。每次呈现时声音的总体水平随机变化,因此信号的存在在很大程度上与信号分量的绝对水平无关。提出了一个模型,该模型假设对称信号的检测基于包络功率谱形状的变化。包络功率谱的这种变化可能被听为窄带声音“粗糙度”或“平滑度”的变化。该模型的预测是通过计算机模拟获得的。对于不对称信号,最可能的检测线索是窄带声音音高的变化。使用三名听众进行的各种不同实验的结果支持了这些推测。

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