Deep neural networks are popular for various image processing or NLP tasks. In recent times, however, research focused on audio tasks using deep learning techniques has seen a surge. Some of the deep learning techniques have been adopted from image processing tasks, however audios are quite different as they are one-dimensional time series signal which is different from two-dimensional images. Deep learning methods with audio as input are important as audio is a very prevalent medium in our daily lives. In this project, the main objective was to train a deep neural network for the purpose of feature extraction, clustering or both.