Deep Learning for Music: Similarity Search and Beyond

This paper is a study on the use of Machine Learning and Deep Learning to determine the similarity between different musics. The first part introduces the framework used and some concepts of Deep Learning that will be used in the algorithms. The second part talks about the problem caused by the topic and how the models should be to be efficient. The third part describes the algorithms used for trying to solve this problem. The fourth part is the analysis and testing of the model, followed by the conclusion to be drawn from them.