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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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Title Page

Contents

ABSTRACT 6

1. Introduction 7

1.1. Background 7

1.2. Suggestions 9

1.3. Structure of Thesis 10

2. Related Works 11

2.1. Emotion Recognition Technologies 11

2.2. Gender Recognition Technologies 14

2.3. Age Recognition Technologies 16

3. Proposal for Emotion, Gender and Age Recognition Method 19

3.1. System Architecture 20

3.1.1. Emotion Recognition Using Spectral Entropy 20

3.1.2. Gender Recognition Using Spectral Entropy 21

3.1.3. Age Recognition Using Spectral Entropy 22

3.2. Feature Extraction 24

3.2.1. Pitch 25

3.2.2. Entropy 27

3.2.3. Delta and Delta-Delta FFT Spectral Entropy 28

3.2.4. MFB, Delta MFB and Delta-Delta MFB Spectral Entropy 31

3.3. Emotion, Gender and Age Recognition Using GMM 36

4. Experiments and Results 40

4.1. Experimental Environment 40

4.2. Experimental Results 43

4.2.1. Performance Evaluation of Emotion Recognition 43

4.2.2. Performance Evaluation of Gender Recognition 47

4.2.3. Performance Evaluation of Age Recognition 51

5. Conclusion 56

References 57

논문요약 63

List of Tables

Table 4.1. Consist of age speech database 41

Table 4.2. Recognition using general feature 43

Table 4.3. Recognition using general and delta general feature 43

Table 4.4. Recognition using general, delta and delta-delta general feature 44

Table 4.5. Experimental results using FFT spectral entropy 45

Table 4.6. Experimental results using FFT and Delta FFT spectral entropy 45

Table 4.7. Experimental results using FFT, Delta and Delta-Delta FFT spectral entropy 45

Table 4.8. Experimental results using MFB spectral entropy 46

Table 4.9. Experimental results using MFB spectral entropy and Delta MFB spectral entropy 46

Table 4.10. Experimental results using MFB, Delta and Delta-Delta MFB spectral entropy 47

Table 4.11. The recognition accuracy of the acoustic analysis approach 48

Table 4.12. The recognition accuracy of the pitch estimation approach 48

Table 4.13. The accuracy of the combining approach 48

Table 4.14. Experimental results using MFB spectral entropy and pitch 49

Table 4.15. Experimental results using MFB spectral entropy, delta MFB spectral entropy and pitch 49

Table 4.16. Experimental results using MFB spectral entropy, delta MFB spectral entropy, delta-delta MFB spectral entropy and pitch 50

Table 4.17. Age groups with spans of 5. years and the amount of used training and test recording 51

Table 4.18. Experimental results using Pitch and FFT spectral entropy 53

Table 4.19. Experimental results using Pitch, FFT spectral entropy and Delta FFT spectral entropy 53

Table 4.18. showed experimental results using FFT spectral entropy based age recognition method. Table 4.19 showed experimental results using FFT spectral entropy 53

Table 4.20. Experimental results using Pitch, FFT spectral entropy, delta FFT spectral entropy, delta-delta MFB spectral entropy, and delta-delta FFT spectral entropy 54

Table 4.21. Experimental results using Pitch and MFB spectral entropy 54

Table 4.22. Experimental results using Pitch, MFB spectral entropy, and delta MFB spectral entropy 55

Table 4.23. Experimental results using Pitch, MFB spectral entropy, delta MFB spectral entropy, and delta-delta MFB spectral entropy 55

List of Figures

Figure 3.1. Block Diagram of Emotion Recognition 20

Figure 3.2. Block Diagram of Gender Recognition 21

Figure 3.3. Block Diagram of Age Recognition 22

Figure 3.4. Delta FFT spectral Entropy and Delta MFB Spectral Entropy 24

Figure 3.5. Basic-AMDF in a voiced speech 26

Figure 3.6. Delta FFT spectral Entropy MATLAB c7ode 30

Figure 3.7. "diff" MATLAB Function 31

Figure 3.8. Mel Scale 32

Figure 3.9. Delta MFB Spectral Entropy MATLAB code 35

Figure 3.10. Block Diagram of GMM Parameter Training Processing 38

Figure 3.11. Block Diagram of Emotion Recognition Processing Using GMM 39

Figure 4.1. Estimation Error Rate when Using Groups with Spans of 5. Years 52

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