Developing an AI Music Composer for Generating Original Music Compositions

Thesis Abstract

Abstract
This thesis presents a comprehensive study on the development of an AI Music Composer for generating original music compositions. The project aims to leverage artificial intelligence techniques to create a system that can autonomously compose music pieces that exhibit creativity and originality. The research explores the intersection of music and technology, focusing on the application of machine learning algorithms to the creative process of music composition. Chapter One provides an introduction to the research topic, discussing the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The chapter sets the foundation for understanding the motivation and purpose of developing an AI Music Composer. Chapter Two consists of a comprehensive literature review that examines existing research and developments in the fields of music composition, artificial intelligence, and machine learning. The review highlights key concepts, methodologies, and technologies that inform the design and implementation of the AI Music Composer system. Chapter Three details the research methodology employed in developing the AI Music Composer. The chapter outlines the research design, data collection methods, algorithm selection, model training, and evaluation metrics. Additionally, it discusses the ethical considerations and potential biases associated with using AI in music composition. Chapter Four presents an in-depth discussion of the findings from implementing the AI Music Composer system. The chapter analyzes the performance of the system in generating original music compositions, evaluates the quality of the output, and compares it to compositions created by human musicians. It also explores user feedback and potential applications of the AI Music Composer in the music industry. Chapter Five concludes the thesis with a summary of the key findings, a discussion of the contributions to the field of AI in music composition, and suggestions for future research directions. The chapter reflects on the challenges encountered during the development process and proposes recommendations for further improving the AI Music Composer system. Overall, this thesis contributes to the growing body of research at the intersection of music and artificial intelligence. The AI Music Composer system offers a novel approach to music composition, showcasing the potential of AI technologies in fostering creativity and innovation in the music industry.