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Speech recognition using pulse-coupled neural networks with a radial basis function

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Abstract

We have developed a novel pulse-coupled neural network (PCNN) for speech recognition. One of the advantages of the PCNN is in its biologically based neural dynamic structure using feedback connections. To recall the memorized pattern, a radial basis function (RBF) is incorporated into the proposed PCNN. Simulation results show that the PCNN with a RBF can be useful for phoneme recognition.

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Correspondence to Masao Sakai.

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Sugiyama, T., Homma, N., Abe, K. et al. Speech recognition using pulse-coupled neural networks with a radial basis function. Artificial Life and Robotics 7, 156–159 (2004). https://doi.org/10.1007/BF02471198

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  • DOI: https://doi.org/10.1007/BF02471198

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