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A study on the recognition of the isolated digits using recurrent neural predictive HMM

We composed the recurrent neural predictive HMM (RNPHMM) to provide the dynamic feature of the speech pattern for HMM. The RNPHMM is the hybrid network of the recurrent neural network and the HMM. In the experiment, we compared the recognition abilities of the RNPHMM as we increased the state number, prediction order, and number of hidden nodes for the isolated digits. The models of the recurrent neural predictive HMM are the Elman network prediction HMM and the Jordan network prediction HMM. As a result of the experiments, the Elman network prediction HMM and the Jordan network prediction HMM have a good recognition ability of 98.5% for test data respectively.