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.

Thesis Overview

The proposed project, titled "Developing an AI Music Composer for Generating Original Music Compositions," aims to explore the potential of artificial intelligence (AI) in the field of music composition. In this research endeavor, the focus will be on developing an AI-based system that can autonomously generate original music compositions across various genres and styles. The project will involve the utilization of machine learning algorithms and neural networks to train the AI music composer on a vast dataset of existing music compositions. By analyzing patterns, structures, and characteristics of different musical pieces, the AI system will learn to create new and unique music compositions that exhibit creativity and originality. Through the development of this AI music composer, the research seeks to address the challenge of music composition, particularly in terms of creativity and innovation. By leveraging the capabilities of artificial intelligence, the project aims to push the boundaries of music creation and explore new avenues for artistic expression. Key aspects of the research will include the design and implementation of the AI music composer system, the training and evaluation of the neural network models, and the testing of the generated music compositions for quality and originality. Additionally, the project will explore the ethical implications of using AI in music composition and consider the impact of technology on the creative process. Overall, this research overview sets the stage for an in-depth exploration of AI-driven music composition and its potential to revolutionize the way music is created and experienced. By developing an AI music composer for generating original music compositions, this project aims to contribute to the intersection of technology and art, opening up new possibilities for musical creativity and innovation.