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KMID : 0372919900110010083
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Journal of Biomedical Engineering Research
1990 Volume.11 No. 1 p.83 ~ p.88
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A Neural Speech Processing Algorithm for Multielectrode cochlear Implant System
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Abstract
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A New speech processing algorithm using neural networks is proposed. We transform input data into frequency domain and process them by neural networks of 22 output neurons which have Bark scale on the ground that the Bark scale is similiar with that of the characteristics of human cochlea. An utilized neural network is multilayer perceptron, and the characteristics of cochlea have it trained by error back propagation learning algorithm. The trained neural networks suffices functions of human cochlea including the effects of automatic gain control, compression and equalization. Simulation results show that the proposed speech processing algorithm has good performance in automatic gain control, compression and equalization.
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