听觉感知的时频神经网络分层模型

Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics Pub Date : 1993-10-17 DOI:10.1109/ASPAA.1993.379981

V.C. Georgopoulos, D. Preis

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引用次数: 1

摘要

介绍了一种听觉感知分层神经网络模型。它基于听觉的五个重要感知特性。神经网络模型处理输入信号的联合域表示以产生期望的感知特性。重点是模型的前两层，转换层和两个特征提取层。

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A time-frequency neutral network layered model for hearing perception

This paper introduces a layered neural network model for hearing perception. It is based on five important perceptual properties of hearing. The neural network model processes a joint-domain representation of the input signal to yield the desired perceptual properties. The focus is on the first two layers of the model, the transformation layer and two feature extraction layers.<>

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Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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