Voutsas Kyriakos, Langner Gerald, Adamy Jürgen, Ochse Michael
Control Theory and Robotics Laboratory, Technical University Darmstadt, 64283 Darmstadt, Germany.
IEEE Trans Syst Man Cybern B Cybern. 2005 Feb;35(1):12-22. doi: 10.1109/tsmcb.2004.837751.
This paper introduces a brain-like neural model for sound processing. The periodicity analyzing network (PAN) is a bio-inspired neural network of spiking neurons. The PAN consists of complex models of neurons, which can be used for understanding the dynamics of individual neurons and neuronal networks. On a technical level, the PAN is able to compute the ratio of modulation and carrier frequency of harmonic sound signals. The PAN model may, therefore, be used in audio signal processing applications, such as sound source separation, periodicity analysis, and the cocktail party problem.
本文介绍了一种用于声音处理的类脑神经模型。周期性分析网络（PAN）是一种受生物启发的脉冲神经元神经网络。PAN由复杂的神经元模型组成，可用于理解单个神经元和神经元网络的动态。在技术层面上，PAN能够计算谐波声音信号的调制频率与载波频率之比。因此，PAN模型可用于音频信号处理应用，如声源分离、周期性分析和鸡尾酒会问题。
