Study of Fundamental Approaches in Regards with Automatic Music Generation using AI

Abstract

Computational creativity is an interdisciplinary topic in which computers attempt to achieve creative behaviors. One of the prolifest areas of music generation, which employs computer methods to make music, is known as algorithmic composition or music meta creation. It is often difficult to determine specific objectives and to monitor issues that state-of-the-art systems can deem addressed and what additional advancements will instead be necessary. In this survey, we attempt to provide people who want to study computer creativity and music production with a thorough introduction. We examine the state-of-the-art systems of Music Generation by providing instances of the primary techniques to creating music and identifying the open issues mentioned in earlier studies. We mention works that have offered answers to each of these issues and that describe what still needs to be done and suggested guidelines for additional study. This paper combined my two passions – music and deep learning – to create an automatic music generation model. We are thrilled to share our approach with you, to enable you to generate your music! We will first quickly understand the concept of automatic music generation before diving into the different approaches we can use to perform this. Finally, we will fire up Python and design our automatic music generation model.