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关于从时间精细结构中恢复包络信息所涉及的机制。

On the mechanisms involved in the recovery of envelope information from temporal fine structure.

机构信息

Department of Speech and Hearing Science, The Ohio State University 110 Pressey Hall, 1070 Carmack Road, Columbus, Ohio 43210, USA.

出版信息

J Acoust Soc Am. 2011 Jul;130(1):273-82. doi: 10.1121/1.3596463.

Abstract

Three experiments were designed to provide psychophysical evidence for the existence of envelope information in the temporal fine structure (TFS) of stimuli that were originally amplitude modulated (AM). The original stimuli typically consisted of the sum of a sinusoidally AM tone and two unmodulated tones so that the envelope and TFS could be determined a priori. Experiment 1 showed that normal-hearing listeners not only perceive AM when presented with the Hilbert fine structure alone but AM detection thresholds are lower than those observed when presenting the original stimuli. Based on our analysis, envelope recovery resulted from the failure of the decomposition process to remove the spectral components related to the original envelope from the TFS and the introduction of spectral components related to the original envelope, suggesting that frequency- to amplitude-modulation conversion is not necessary to recover envelope information from TFS. Experiment 2 suggested that these spectral components interact in such a way that envelope fluctuations are minimized in the broadband TFS. Experiment 3 demonstrated that the modulation depth at the original carrier frequency is only slightly reduced compared to the depth of the original modulator. It also indicated that envelope recovery is not specific to the Hilbert decomposition.

摘要

三个实验旨在提供心理物理学证据,证明在原始幅度调制(AM)刺激的时频结构(TFS)中存在包络信息。原始刺激通常由正弦调幅的音调与两个未调制的音调之和组成,因此可以预先确定包络和 TFS。实验 1 表明,正常听力的听众不仅在单独呈现 Hilbert 精细结构时能感知到 AM,而且 AM 检测阈值比呈现原始刺激时的阈值低。根据我们的分析,包络恢复是由于分解过程无法从 TFS 中去除与原始包络相关的频谱分量,并引入与原始包络相关的频谱分量,这表明从 TFS 中恢复包络信息不需要频率到幅度调制的转换。实验 2 表明,这些频谱分量以一种相互作用的方式,使得宽带 TFS 中的包络波动最小化。实验 3 表明,与原始调制器的深度相比,原始载波频率的调制深度仅略有降低。它还表明,包络恢复并不特定于 Hilbert 分解。

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