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16 September 1992 Investigation of an automatic speaker identification system using a neural network
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This paper investigated a simple speaker identification system based on a backpropagation neural network. The network was trained to distinguish between a small base of speakers using parameters extracted from human speech which are typically speaker dependent. Different network configurations were tested and observations were made regarding training time, testing errors, and the ability to generalize. The results showed that an experimentally determined optimum network configuration produced no errors during testing and that the parameters used to represent each speaker are sufficient for generalization.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher J. Burke, Syama P. Chaudhuri, and Gary Dean "Investigation of an automatic speaker identification system using a neural network", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992);

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