Hierarchical classification of sound signals with class separation based on information theoretic criteria:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Aachen
Shaker
2008
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| Schriftenreihe: | Aachen series on multimedia and communications engineering
6 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | VIII, 116 S. graph. Darst. |
| ISBN: | 9783832269302 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text | HIERARCHICAL CLASSIFICATION OF SOUND SIGNALS WITH CLASS SEPARATION BASED
ON INFORMATION THEORETIC CRITERIA VON DER FAKULTAT FIIR ELEKTROTECHNIK
UND INFORMATIONSTECHNIK DER RHEINISCH-WESTFALISCHEN TECHNISCHEN
HOCHSCHULE AACHEN ZUR ERIANGUNG DES AKADEMISCHEN GRADES EINES DOKTORS
DER INGENIEURWISSENSCHAFTEN GENEHMIGTE DISSERTATION VON DIPLOM-LNGENIEUR
HOLGER CRYSANDT A US MOERS BERICHTER: UNIVERSITATSPROFESSOR DR.-LNG.
JENS-RAINER OHM UNIVERSITATSPROFESSOR DR. RER. NAT. RUDOLF MATHAR TAG
DER MIINDLICHEN PRIIFUNG: 9. NOVEMBER 2007 CONTENTS 1 INTRODUCTION 1 1.1
ABOUT THIS WORK 1 1.2 RELATED TOPICS 2 1.3 OUTLINE 2 2 FUNDAMENTALS 3
2.1 RANDOM PROCESSES 3 2.1.1 PROBABILITY DENSITY FUNCTIONS 3 2.1.2
EXPECTATION 3 2.1.3 VARIANCE & COVARIANCE 4 2.1.4 HIGHER MOMENTS 5 2.1.5
GAUSSIAN DISTRIBUTION 6 2.2 INFORMATION THEORY 6 2.2.1 SELF-INFORMATION
6 2.2.2 ENTROPY 7 2.2.3 KULLBACK-LEIBLER DISTANCE 8 2.2.4 MUTUAL
INFORMATION 9 2.3 MEAN FUNCTIONS 9 2.4 CLUSTERING AND OPTIMIZATION
ALGORITHMS 10 2.4.1 K-MEANS ALGORITHM 10 2.4.2 EXPECTATION-MAXIMIZATION
ALGORITHM 12 2.4.3 DOWNHILL-SIMPLEX ALGORITHM 12 2.4.4 GENETIC ALGORITHM
14 3 LINEAR TRANSFORMATIONS 15 3.1 DISCRETE COSINE TRANSFORM (DCT) 16
3.2 PRINCIPAL COMPONENT ANALYSIS (PCA) 16 3.2.1 PCA USING SINGULAR VALUE
DECOMPOSITION 17 3.3 WHITENING , 18 3.3.1 CHOLESKY DECOMPOSITION 19 3.4
INDEPENDENT COMPONENT ANALYSIS (ICA) 19 3.5 LINEAR DISCRIMINANT ANALYSIS
(LDA) 20 3.5.1 COOKING RECEIPT OF LDA 21 3.5.2 VARIATIONS OF THE LDA
ALGORITHM 22 CONTENTS NEW LINEAR TRANSFORMATION FOR CLASS SEPARATION 23
4.1 KULLBACK-LEIBLER DISTANCE 23 4.1.1 ONE-DIMENSIONAL KLD 24 4.1.2
MULTI-DIMENSIONAL SOLUTION 24 4.1.3 NONSYMMETRIC DISTANCE 24 4.2
CROSSCORRELATION OF GMMS 25 4.2.1 PRODUCT AND ENERGY OF GAUSSIAN
DISTRIBUTIONS 25 4.2.2 CORRELATION OF TWO GMMS 27 4.2.3 NORMALIZED
CORRELATION COEFFICIENT 28 4.3 FINDING THE BEST TRANSFORMATION 29 4.3.1
REQUIREMENTS OF A GOOD TRANSFORMATION 29 4.3.2 SEQUENTIAL ALGORITHMS 30
4.3.3 PARALLEL ALGORITHMS 33 4.3.4 OPTIMIZATION 34 4.4 EXPERIMENTAL
OPTIMIZATION 35 4.4.1 EFFECTIVENESS OF COMPRESSION 35 4.4.2 COMPLEXITY
AND RUNTIME 36 4.4.3 KLD: DIFFERENT MEAN FUNCTIONS 40 CLASSIFICATION 43
5.1 GAUSSIAN MIXTURE MODELS 43 5.1.1 CLASSIFICATION 44 5.1.2 TRAINING:
EM-ALGORITHM 45 5.2 HIDDEN MARKOV MODELS 46 5.2.1 TRAINING: BAUM-WELCH
ALGORITHM 47 5.2.2 CLASSIFICATION: VITERBI ALGORITHM 49 5.3 SIMILARITIES
AND DIFFERENCES BETWEEN HMMS AND- GMMS 50 5.3.1 CONVERTING HMMS INTO
GMMS 50 5.3.2 CONVERTING GMMS INTO HMMS 52 5.3.3 SINGULARITIES 52 5.4
ARTIFICIAL NEURAL NETWORKS 53 5.4.1 LAYERS 54 5.4.2 SYNAPSES 55 5.4.3
INITIALIZATION OF ARTIFICIAL NEURAL NETWORKS 56 MPEG-7 57 6.1 MOTIVATION
57 6.2 DESCRIPTORS 57 6.2.1 TEMPORAL DESCRIPTORS 58 6.2.2 SPECTRAL
DESCRIPTOR 59 6.2.3 MORE DESCRIPTORS . . 63 6.3 DESCRIPTION SCHEMAS 63
6.3.1 AUDIOSIGNATURE 64 6.3.2 SOUNDMODEL 64 6.4 XML SCHEMA DESCRIPTION
67 6.4.1 EXTENDING THE MPEG-7 STANDARD 67 CONTENTS 7 HIERARCHICAL SOUND
CLASSIFICATION 69 7.1 TRAINING 69 7.1.1 MPEG-7 IMPLEMENTATION 70 7.2
CLASSIFICATION 72 7.3 ADVANTAGES & DISADVANTAGES 73 7.3.1 MAIN
ADVANTAGES 73 7.3.2 MINOR ADVANTAGES 74 7.3.3 DISADVANTAGES 74 7.4
IMPLEMENTATION 75 7.5 VARIATIONS AND EXTENSIONS OF THE ALGORITHM 76
7.5.1 MULTIPLE CLASSIFIERS PER NODE 76 7.5.2 AUTOMATIC COMPLEXITY
ADAPTATION 77 7.5.3 MAPPING THE OLD ALGORITHM TO THE NEW ONE 77 8
EXPERIMENTS - AUDIO CLASSIFICATION 79 8.1 BASIC TESTS. . 79 8.1.1 LINEAR
TRANSFORMATIONS 79 8.1.2 ICA - SILVER BULLET OR HYPE? 81 8.2 ADVANCED
TESTS 83 8.2.1 ENVIRONMENTAL TEST SET 83 8.2.2 ONE CLASSIFICATION MODEL
PER NODE 84 8.2.3 MULTIPLE CLASSIFICATION MODELS PER NODE 84 9 SUMMARY
AND CONCLUSIONS 87 9.1 SUMMARY 87 9.2 OUTLOOK 88 A XML 89 A.I SYNTAX 89
A.2 DECLARATION 90 A.2.1 NODES 90 A.2.2 ATTRIBUTES 90 A.2.3 TEXT
CONTENTS 90 A.2.4 COMMENTS 91 A.2.5 XML AND HTML 91 A.3 INPUT/OUTPUT 91
A.3.1 SIMPLE API FOR XML (SAX) 91 A.3.2 DOCUMENT OBJECT MODEL (DOM) 92
A.3.3 XML SCHEMA DEFINITION (XSD) 92 A.3.4 EXTENSIBLE STYLESHEET
LANGUAGE TRANSFORMATIONS (XSLT) 92 A.4 XML DATABASES 93 A.4.1 XPATH 93
A.4.2 XQUERY 93 A.4.3 XUPDATE 94 CONTENTS B CONFIGURATIONS AND SETUPS 95
B.I CONFIGURATIONS 95 B.I.I TRANSFORMATIONS 96 B.1.2 CLASSIFIERS 97
B.1.3 OTHER PARAMETERS 97 B.1.4 TEST SETUPS 98 B.I.5 FEATURE VECTORS 99
B.1.6 TEMPORAL RESOLUTION 99 B.I.7 SPECTRAL RESOLUTION 99 B.1.8 MPEG-7
ENCODER 99 B.1.9 XML DATABASE 99 B.2 TEST SETS 100 B.2.1 FEMALE/MALE
TEST SET 100 B.2.2 ENVIRONMENTAL TEST SET 100 C SOLUTION OF THE KLD 101
C.I ONE DIMENSIONAL SOLUTION 101 C.2 MULTIDIMENSIONAL SOLUTION 103 D
ACRONYMS 107 BIBLIOGRAPHY 109 INDEX 113
|
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| indexdate | 2024-07-09T21:29:59Z |
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| isbn | 9783832269302 |
| language | English |
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| physical | VIII, 116 S. graph. Darst. |
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| series | Aachen series on multimedia and communications engineering |
| series2 | Aachen series on multimedia and communications engineering |
| spelling | Crysandt, Holger 1974- Verfasser (DE-588)134278976 aut Hierarchical classification of sound signals with class separation based on information theoretic criteria Holger Crysandt Aachen Shaker 2008 VIII, 116 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Aachen series on multimedia and communications engineering 6 Zugl.: Aachen, Techn. Hochsch., Diss., 2007 Hierarchische Klassifikation swd Lineare Transformation swd Merkmalsraum swd Multimedia swd Signalanalyse swd Signaldetektion swd (DE-588)4113937-9 Hochschulschrift gnd-content Aachen series on multimedia and communications engineering 6 (DE-604)BV019760223 6 HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017071704&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Crysandt, Holger 1974- Hierarchical classification of sound signals with class separation based on information theoretic criteria Aachen series on multimedia and communications engineering Hierarchische Klassifikation swd Lineare Transformation swd Merkmalsraum swd Multimedia swd Signalanalyse swd Signaldetektion swd |
| subject_GND | (DE-588)4113937-9 |
| title | Hierarchical classification of sound signals with class separation based on information theoretic criteria |
| title_auth | Hierarchical classification of sound signals with class separation based on information theoretic criteria |
| title_exact_search | Hierarchical classification of sound signals with class separation based on information theoretic criteria |
| title_full | Hierarchical classification of sound signals with class separation based on information theoretic criteria Holger Crysandt |
| title_fullStr | Hierarchical classification of sound signals with class separation based on information theoretic criteria Holger Crysandt |
| title_full_unstemmed | Hierarchical classification of sound signals with class separation based on information theoretic criteria Holger Crysandt |
| title_short | Hierarchical classification of sound signals with class separation based on information theoretic criteria |
| title_sort | hierarchical classification of sound signals with class separation based on information theoretic criteria |
| topic | Hierarchische Klassifikation swd Lineare Transformation swd Merkmalsraum swd Multimedia swd Signalanalyse swd Signaldetektion swd |
| topic_facet | Hierarchische Klassifikation Lineare Transformation Merkmalsraum Multimedia Signalanalyse Signaldetektion Hochschulschrift |
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