Speech recognition system consisting of auditory feature extraction cells and velocity-controlled delay-lines part I. Feature extraction module

A model of a speech recognition system is proposed and simulated. This model consists of two modules: a feature extraction module which is composed of layers of neuron-like cells with time constants, and a recognition module with delay-lines. This paper offers a detailed explanation of the feature e...

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Bibliographic Details
Main Authors: Fukuda, Megumu, Yamauchi, Kouichirou, Fukushima, Kunihiko
Format: Conference Proceeding
Language:English
Online Access:Get full text
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Summary:A model of a speech recognition system is proposed and simulated. This model consists of two modules: a feature extraction module which is composed of layers of neuron-like cells with time constants, and a recognition module with delay-lines. This paper offers a detailed explanation of the feature extraction module of this model. The module consists of an Adaptive-Q filter bank, which corresponds to the basilar membrane, a halfwave rectifier block, which corresponds to the layer of hair cells, and a feature extraction block made of neural cells. The features extracted by this model are frequency ascending, frequency descending, and continuous constant frequency components.