Audio Clustering with Deep Learning

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.