Using existing sound search systems by textual keywords is problematic because it is not done by accurately describing the exact sound content the user is looking for. Recently, an innovative direction has been proposed for sound search systems - search by imitation. The goal of our project is to design a technique for searching sounds in a database given an audio signal that is an imitation of the desired sound. The user imitates sound, for example: (cat sound, or the sound of a landing plane) and the system returns the most likely audio as an output from a library that contains the dataset. This system provides innovative tools for interaction with computerized systems.