A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lyapunov exponents/probabilistic neural networks for analysis of EEG signals
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hindi paired word recognition using probabilistic neural network
International Journal of Computational Intelligence Studies
Multiclass Support Vector Machines for EEG-Signals Classification
IEEE Transactions on Information Technology in Biomedicine
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This paper has proposed an idea to develop a speech controlled authenticated voice enabled system based on hybrid approach consisting of wavelet and probabilistic neural network (PNN) techniques. This hybrid approach is endeavoured for spoken paired word classification that is conceived of as an integral part of a speaker dependent intelligent system. Five hundred templates of spoken Hindi (Indian national language) paired word (SHPW) have been used for experimental validation of the proposed approach. The SHPW signal attributes are extracted by wavelet technique and classification/recognition has been examined with the help of PNN. Correct classification rate of proposed speaker dependent SHPW intelligent system is found to be 100% on considered database.