Speech recognition using multilayer perceptron

Speech is a verb, powerful & fast tool for communication. That's the reason why tire problem of automatic speech recognition has been fascinating the computer scientists. Artificial Neural Networks (ANN) have been developed to model the functioning of human brain. They are very powerful classifiers of patterns & hence can be used to recognize speech patterns. This paper discusses the work of our team on the application of ANN to the speech recognition task. We (rave utilized a particular class of neural networks called MultiLayer Perceptrons (MLP) that utilize tire back propagation of error algorithm for setting of weight. After data acquisition, the speech signal is preprocessed and fed to an MLP for classification. The task is to recognize Urdu digits from zero to nine from a mono-speaker database.