Real time voice recognition based smart home application

By the improvement of the technology, the applications used for simplifying the daily life create an important work area day after day. In this study, an equipment control component that could be used as intelligence home application based on voice recognition was improved. By this aim, database belonging to intended control voices like turn on the lamp, close the curtain was created by pre-processing the steps of the voice samples taken from five people. For education and test steps, the performance of the algorithm was compared by using Euclidian distance method, artificial neural network and dynamic time warping algorithm separately in the voice recognition step. As for the recognition step, the proposed algorithms were verified by the implementation of the duties that correspond to pairing words as real time on the control cards.