Emotion recognition in speech using vocal landmarks:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Passau
2017
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 76 Seiten Diagramme |
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Datensatz im Suchindex
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| adam_text | Contents
1 Introduction 1
1.1 Emotion Representation.......................................... 2
2 Machine Learning 4
2.1 Fundamentals.................................................... 5
2.2 Challenges...................................................... 7
2.2.1 Feature Selection......................................... 7
2.2.2 Hyper parameter Optimization.............................. 7
2.2.3 Overfitting............................................... 8
2.3 Dimensionality Reduction........................... 9
2.3.1 Bag of Features........................................... 9
3 State of the Art 11
3.1 Features....................................................... 12
3.1.1 Mel Frequency Cepstral Coefficients...................... 12
3.1.2 Acoustic Landmarks....................................... 15
3.1.2.1 voiced / unvoiced............................... 15
3.1.2.2 p-center........................................ 16
3.1.2.3 Reduced Energy Cumulating ...................... 18
3.1.3 Formants ................................................ 18
3.2 Bag of Audio Words ............................................ 20
3.2.1 Codebook Generation ................................. 20
3.2.1.1 Clustering...................................... 20
3.2.1.2 Random Sampling................................. 22
3.2.1.3 Nonnegative Matrix Factorization................ 22
3.3 Classification ............................... 24
3.3.1 k-Nearest Neighbors ..................................... 24
3.3.2 Support Vector Machines.................................. 24
3.3.2.1 Linear SVM...................................... 24
3.3.2.2 Nonlinear SVM and the Kernel Trick.............. 26
3.3.2.3 e - Support Vector Regression................... 28
3.3.3 Random Forests........................................... 30
3.3.3.1 Decision Tree Construction...................... 30
3.4 Postprocessing................................................. 31
4 Task and Dataset
32
5 Experiments and Results 34
5.1 Methodology ................................................ 35
5.1.1 Process Flow......................................... 35
5.1.2 Loss Function........................................ 35
5.2 Preprocessing............................................... 39
5.3 Featuresets ................................................ 41
5.3.1 Acoustic Landmarks................................... 41
5.3.2 Low Level Descriptors................................ 43
5.4 Functionals................................................. 44
5.5 BoAW........................................................ 45
5.5.1 Codebook Generation ................................. 45
5.5.1.1 Clustering Methods .......................... 46
5.5.1.2 Nonnegative Matrix Factorization............. 50
5.6 Classification.............................................. 53
5.6.1 SVM.................................................. 53
5.6.2 Random Forests....................................... 54
5.6.3 k-Nearest Neighbors ................................. 56
5.7 Postprocessing.............................................. 57
5.8 Fusion...................................................... 58
5.8.1 Early Fusion......................................... 58
5.8.2 Late Fusion.......................................... 60
5.9 On Implementation........................................... 62
6 Conclusion and Outlook 63
6.1 Evaluation.................................................. 63
6.2 Future Work................................................. 64
Appendices 65
A Supplementary Information 66
B References 71
C Declaration of Authorship 76
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| spelling | Wendlinger, Lorenz Verfasser aut Emotion recognition in speech using vocal landmarks von Lorenz Wendlinger Passau 2017 76 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Bachelorarbeit Universität Passau 2017 (DE-588)4113937-9 Hochschulschrift gnd-content Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029853948&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wendlinger, Lorenz Emotion recognition in speech using vocal landmarks |
| subject_GND | (DE-588)4113937-9 |
| title | Emotion recognition in speech using vocal landmarks |
| title_auth | Emotion recognition in speech using vocal landmarks |
| title_exact_search | Emotion recognition in speech using vocal landmarks |
| title_full | Emotion recognition in speech using vocal landmarks von Lorenz Wendlinger |
| title_fullStr | Emotion recognition in speech using vocal landmarks von Lorenz Wendlinger |
| title_full_unstemmed | Emotion recognition in speech using vocal landmarks von Lorenz Wendlinger |
| title_short | Emotion recognition in speech using vocal landmarks |
| title_sort | emotion recognition in speech using vocal landmarks |
| topic_facet | Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029853948&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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