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1. Introduction 1.1 Background and Context 1.2 Objective of the Study 1.3 Structure of the Paper 2. Theoretical Foundations of AI and Foley Sound 2.1 Basics of Artificial Intelligence 2.2 Overview of Foley Sound Techniques 2.3 Intersection of AI and Sound Design 3. Literature Review 3.1 Previous Work on AI in Sound Generation 3.2 Current Trends in Foley Sound Production 3.3 Gaps in Existing Research 4. AI Techniques for Sound Generation 4.1 Machine Learning Algorithms 4.2 Deep Learning Approaches 4.3 Comparative Analysis of AI Models 5. Implementation of AI-Driven Foley Sound 5.1 System Architecture and Design 5.2 Integration with Multimedia Applications 5.3 Case Studies and Examples 6. Evaluation of Sound Quality 6.1 Metrics for Sound Quality Assessment 6.2 User Studies and Feedback 6.3 Comparison with Traditional Methods 7. Challenges and Limitations 7.1 Technical Challenges 7.2 Ethical and Legal Considerations 7.3 Limitations of Current Approaches 8. Conclusion and Future Work 8.1 Summary of Findings 8.2 Implications for Multimedia Industries 8.3 Directions for Future Research
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