Spectral Profile Cues and Synthetic Listening

近年来，越来越多的心理声学证据表明， 落在信号的频率区域之外的分量可以对处理具有显著影响 这个信号。在轮廓分析和共调节掩蔽释放（CMR）中，该效应降低 阈值：侧翼刺激成分的存在倾向于提高灵敏度。在其他现象中， 例如跨信道掩蔽，侧翼分量的作用是提高阈值。的目标 目前的项目是开发一个跨通道处理的模型，该模型既捕获了促进作用， 干扰效应这个模型是基于这样一个前提： 听觉对象是其作为时间的函数的频谱内容，并且刺激条件与 合成收听（例如，频率上的共同起始）可以根据频谱轮廓来理解， 而不管这种类型的处理是否是最佳的。此外，提出心理声学 表明具有幅度调制刺激分量的跨通道处理的现象， 例如CMR，可以根据短期频谱线索来理解。实验将使用标准 心理声学方法与人类观察员测试这种方法的定性预测，使用 与促进和干扰有关的范例。将使用标准品分析结果 参数统计技术，主要是重复测量ANOVA。这些数据以及公布的 研究将被建模，以获得定量预测的一系列现象，涉及跨- 频率掩蔽和掩蔽释放。

In recent years there has been a growing body of psychoacoustical evidence demonstrating that stimulus components falling outside of the frequency region of a signal can have a significant effect on the processing of that signal. In profile analysis and in comodulation masking release (CMR) that effect is to decrease thresholds: the presence of flanking stimulus components tends to improve sensitivity. In other phenomena, such as across channel masking, the effect of flanking components is to elevate thresholds. The goal of the current project is to de'velop a model of across-channel processing that captures both facilitation and interference effects. This model is based on the premise that the most ecologically relevant characteristic of an auditory object is its spectral content as a function of time, and that stimulus conditions associated with synthetic listening (e.g., common onset across frequency) can be understood in terms of the spectral profile, regardless of whether this type of processing is optimal. Further, it is proposed that a psychoacoustical phenomenon demonstrating across-channel processing with amplitude modulated stimulus components, such as CMR, can be understood in terms of short-term spectral cues. Experiments will use standard psychoacoustical methods with human observers to test qualitative predictions of this approach, using paradigms associated with both facilitation and interference. Results will be analyzed using standard parametric statistical techniques, primarily repeated measures ANOVA. Data from these as well as published studies will be modeled in order to obtain quantitative predictions for a range of phenomena involving across- frequency masking and masking release.