A speech recognition system based on multiple neural networks

According to the visible characteristics of speech, a new speech recognition system design was proposed. It based on multiple neural networks. Firstly, Pulse Coupled Neural Network(PCNN) was input into the spectrogram for producing the corresponding time series icon as the feature parameters of speech. And then, the feature parameters was input into the Probabilistic Neural Networks(PNN) for training PNN to realizing speech recognition. Finally, the Probabilistic Neural Networks(PNN) was used of processing these feature parameters for realizing speech recognition. This way could solve the problem of template matching weak generalization of PCNN. As the simulation results shown, the higher speech recognition rate could be gotten by this way.