Utilizing Machine Learning Algorithms for Music Genre Classification

Chapter ONE

INTRODUCTION

• 1.1Introduction
• 1.2Background of Study
• 1.3Problem Statement
• 1.4Objectives of Study
• 1.5Limitations of Study
• 1.6Scope of Study
• 1.7Significance of Study
• 1.8Structure of the Thesis
• 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

• 2.1Overview of Music Genre Classification Studies
• 2.2Machine Learning Algorithms in Music Classification
• 2.3Previous Research on Music Genre Classification
• 2.4Impact of Music Genre Classification in the Music Industry
• 2.5Challenges in Music Genre Classification
• 2.6Trends in Music Genre Classification Research
• 2.7Evaluation Metrics in Music Genre Classification
• 2.8Data Collection for Music Genre Classification
• 2.9Feature Extraction in Music Genre Classification
• 2.10Music Genre Classification Applications

Chapter THREE

RESEARCH METHODOLOGY

• 3.1Research Design
• 3.2Data Collection Methods
• 3.3Sampling Techniques
• 3.4Data Analysis Tools
• 3.5Machine Learning Algorithms Selection
• 3.6Model Evaluation Techniques
• 3.7Validation Procedures
• 3.8Ethical Considerations in Research

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

• Discussion of Findings
• 4.1Analysis of Experimental Results
• 4.2Comparison of Machine Learning Algorithms
• 4.3Interpretation of Classification Performance
• 4.4Discussion on Feature Importance
• 4.5Addressing Limitations and Challenges
• 4.6Implications for Music Genre Classification
• 4.7Recommendations for Future Research

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

• and Summary
• 5.1Summary of Findings
• 5.2Conclusion
• 5.3Contributions to the Field
• 5.4Practical Implications
• 5.5Suggestions for Further Research