Implementation of an AI Model for Sound Position Detection on a wooden Table"

1. Introduction 1.1 Background and Motivation 1.2 Problem Statement 1.3 Objectives of the Study 1.4 Structure of the Thesis 2. Literature Review 2.1 Sound Position Detection Techniques 2.2 AI Models in Acoustic Applications 2.3 Current Solutions and Limitations 3. Theoretical Framework 3.1 Acoustic Properties of Wood 3.2 AI Model Selection 3.3 Signal Processing Fundamentals 4. Methodology 4.1 Research Design 4.2 Data Collection Methods 4.3 Model Implementation Steps 5. AI Model Development 5.1 Dataset Preparation 5.2 Feature Extraction Process 5.3 Model Training and Validation 6. Experimental Setup 6.1 Hardware Configuration 6.2 Software Tools and Libraries 6.3 Experimental Procedure 7. Results and Discussion 7.1 Performance Metrics 7.2 Comparison with Existing Methods 7.3 Interpretation of Findings 8. Conclusion and Future Work 8.1 Summary of the Results 8.2 Contributions to the Field 8.3 Potential Improvements 8.4 Future Research Directions