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Introduction

Generative artificial intelligence (AI) has revolutionized many industries, including music composition. With the advancement of technology, AI systems are now capable of composing music that rivals the work of human composers. This thesis explores the use of generative AI for automated music composition, aiming to investigate its potential impact on the music industry.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of Generative AI in Music Composition
2.2 Evolution of AI in Music Industry
2.3 Challenges and Opportunities of AI in Music Composition
2.4 Case Studies of AI Music Composition Platforms
2.5 Ethical Considerations in AI Music Composition
2.6 Impact of AI on Music Copyright and Ownership
2.7 Comparison of AI-generated Music vs Human-composed Music
2.8 Future Trends in AI Music Composition
2.9 Critiques of Generative AI in Music Composition
2.10 Integration of AI with Human Creativity in Music Composition

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Procedures
3.5 Evaluation of AI Music Composition Algorithms
3.6 Testing and Validation of AI-generated Music
3.7 Ethical Considerations in Research
3.8 Limitations of Research Methods

Chapter 4: Discussion of Findings
4.1 Analysis of AI Music Composition Algorithms
4.2 Evaluation of AI-generated Music
4.3 Comparison of AI Music with Human-composed Music
4.4 Impact of AI on Music Industry
4.5 Challenges and Opportunities of AI in Music Composition
4.6 Ethical Implications of AI-generated Music
4.7 Recommendations for Future Research
4.8 Practical Applications of AI in Music Composition

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Contributions to Knowledge
5.4 Implications for the Music Industry
5.5 Recommendations for Future Research

Thesis Overview:

The use of generative artificial intelligence (AI) for automated music composition has gained significant attention in recent years. This thesis aims to explore the potential impact of AI on music composition and its implications for the music industry.

Chapter one provides an introduction to the topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms.

Chapter two presents a comprehensive literature review on generative AI in music composition, discussing the evolution of AI in the music industry, challenges and opportunities, case studies, ethical considerations, and future trends in AI music composition.

Chapter three details the research methodology, including research design, data collection methods, sampling techniques, data analysis procedures, evaluation of AI algorithms, testing and validation of AI-generated music, ethical considerations, and limitations of research methods.

Chapter four delves into a discussion of findings, analyzing AI music composition algorithms, evaluating AI-generated music, comparing AI music with human-composed music, exploring the impact of AI on the music industry, discussing challenges and opportunities, ethical implications, recommendations for future research, and practical applications of AI in music composition.

Chapter five concludes the thesis with a summary of findings, conclusions, contributions to knowledge, implications for the music industry, and recommendations for future research. This thesis aims to contribute to the growing body of knowledge on generative AI for automated music composition and its potential impact on the music industry.

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