A SPECTRAL NETWORK MODEL OF PITCH PERCEPTION
A SPECTRAL NETWORK MODEL OF PITCH PERCEPTION
复制标题
DOI：
10.1121/1.413512
复制
发表时间：
1995-08-01
影响因子：
2.4
通讯作者：
WYSE, LL
中科院分区：
文献类型：
--
作者：
COHEN, MA;GROSSBERG, S;WYSE, LL
本文提出并分析了一种音高感知模型，即空间音高网络模型。该模型神经实例化的想法，从频谱音高建模文献，并将它们加入到基本的神经网络信号处理设计，以模拟更广泛的感知音高。数据比以前的光谱模型。该模型的组件被解释为外围机械和神经处理阶段，这是能够被纳入一个更大的网络架构，用于分离环境中的多个声源。新模型的核心是将声源的频谱表示转换为音高强度的空间分布。SPINET模型使用加权的“谐波筛”，由此给定音高的激活强度取决于标称音高值的谐波周围的窄区域的加权和，并且较高谐波对音高的贡献小于较低谐波。适当选择的谐波加权函数使得能够对涉及失谐分量、移位谐波和包括波纹噪声的各种类型的连续频谱的音高感知数据进行计算机模拟。它示出了如何的加权函数产生的优势区域，他们如何导致八度音的变化，在响应于模糊的刺激，以及他们如何导致一个音高区域的八度间隔的谢泼德音复合体和多伊奇三音不使用注意机制，以限制音高的选择。模型中的中心偏离环绕网络有助于产生噪声抑制、部分掩蔽和边缘间距。最后，它示出了如何周边过滤和剪切长期能量测量产生的模型间距估计，是敏感的某些组件的相位关系。(C)1995年美国声学学会。
A model of pitch perception, called the spatial pitch network or SPINET model, is developed and analyzed. The model neurally instantiates ideas from the spectral pitch modeling literature and joins them to basic neural network signal processing designs to simulate a broader range of perceptual pitch. data than previous spectral models. The components of the model are interpreted as peripheral mechanical and neural processing stages, which are capable of being incorporated into a larger network architecture for separating multiple sound sources in the environment. The core of the new model transforms a spectral representation of an acoustic source into a spatial distribution of pitch strengths. The SPINET model uses a weighted ''harmonic sieve'' whereby the strength of activation of a given pitch depends upon a weighted sum of narrow regions around the harmonics of the nominal pitch value, and higher harmonics contribute less to a pitch than lower ones. Suitably chosen harmonic weighting functions enable computer simulations of pitch perception data involving mistuned components, shifted harmonics, and various types of continuous spectra including rippled noise. It is shown how the weighting functions produce the dominance region, how they lead to octave shifts of pitch in response to ambiguous stimuli, and how they lead to a pitch region in response to the octave-spaced Shepard tone complexes and Deutsch tritones without the use of attentional mechanisms to limit pitch choices. An on-center off-surround network in the model helps to produce noise suppression, partial masking, and edge pitch. Finally, it is shown how peripheral filtering and shea-term energy measurements produce a model pitch estimate that is sensitive to certain component phase relationships. (C) 1995 Acoustical Society of America.