Abstract

A speech recognition system is a device that is able to analyze raw speech signal inputs by converting them into readable form, and produces certain outputs. In this project, the system would classify each raw speech signal using multilayer perceptrons in artificial neural networks. By using this network, the speech recognition system can be trained to memorize each word and is able to determine in which class a test input word belongs. This report explains what the speech recognition is about in details and also shows how classifications are done by explaining the classification algorithm and briefly explaining the MATLAB simulation programs and output plots that are done by myself.