Speech recognition using artificial neural networks

The synergism of Web and phone technologies has led to the development of a new innovative voice Web network. The voice Web requires a voice recognition and authentication system incorporating a reliable speech recognition technique for secure information access on the Internet. In line with this requirement, we investigate the applicability of artificial neural networks to speech recognition. In our experiment, a total number of 200 vowel signals from individuals with different gender and race were recorded. The filtering process was performed using the wavelet approach to de-noise and compress the speech signals. An artificial neural network, specially the probabilistic neural network model, was then employed to recognize and classify vowel signals into their respective categories. A series of parameter settings for the PNN model was investigated and the results obtained were analyzed and discussed