Computational rhythm description: a review and novel approach
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Saarbrücken
VDM Verlag Dr. Müller
2008
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literatur- und URL-Verz. S. 217 - 236. - Hergestellt on demand |
| Physical Description: | 254 S. graph. Darst. 22 cm |
| ISBN: | 9783836477697 |
Staff View
MARC
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| 100 | 1 | |a Gouyon, Fabien |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Computational rhythm description |b a review and novel approach |c Fabien Gouyon |
| 264 | 1 | |a Saarbrücken |b VDM Verlag Dr. Müller |c 2008 | |
| 300 | |a 254 S. |b graph. Darst. |c 22 cm | ||
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| 500 | |a Literatur- und URL-Verz. S. 217 - 236. - Hergestellt on demand | ||
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| 650 | 4 | |a Musical meter and rhythm |x Computer programs | |
| 650 | 4 | |a Musical meter and rhythm |x Data processing | |
| 650 | 4 | |a Neural networks (Computer science) | |
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Record in the Search Index
| _version_ | 1804140820348010496 |
|---|---|
| adam_text | CONTENTS 1 INTRODUCTION 11 1.1 RHYTHM PERIODICITY FUNCTIOIIS 12 1.2
METHODOLOGY 12 1.3 AIMS AND BOOK OUTLINE 15 2 SURVEY 17 2.1 REPRESENTING
MUSICAL RHYTHM 17 2.1.1 METRICAL STRUCTURE 20 2.1.2 TEMPO * TACTUS 23
2.1.3 TUNING 25 2.2 COMPUTATIONAL RHYTHM DESCRIPTION 28 2.2.1 FEATURE
LIST CREATION 31 2.2.1.1 EVENT-WISE FEATURES 33 2.2.1.2 FRAME-WISE
FEATURES 35 2.2.1.3 IBI-WISE FEATURES 37 2.2.2 PULSE INDUCTION AND
RHYTHM PERIODICITY FUNCTION COMPUTATION 38 2.2.2.1 PULSE SELECTION 40
2.2.2.2 COMPUTING A PERIODICITY FUNCTION 41 2.2.2.3 HANDIMG SHORT-TERM
DEVIATIONS 45 2.2.2.4 COMBINING MULTIPLE INFORMATION SOURCES 46 2.2.2.5
PARSING THE PERIODICITY FUNCTION 49 2.2.3 PULSE TRACKING 51 2.2.3.1
OBSERVATIONS AND STATE VARIABLES 52 5 BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/988893266 DIGITALISIERT DURCH 3.1.2 FEATURE SELECTION
METHODS 93 6 CONTENTS 2.2.3.2 ARTIONS 52 2.2.3.3 TRACKING AS REPEATED
INDUCTION 55 2.2.4 TIME SIGNATURE DETERMINATION 56 2.2.5 RHYTHM PARSING
56 2.2.6 SYSTEMATIC DEVIATION ESTIMATION 58 2.2.7 RHYTHM PATTERN
DETERMINATION 59 2.2.8 PERIODIEITY FEATURES 59 2.3 EVALUATION OF TEMPO
INDUCTION SYSTEMS 59 2.3.1 ALGORITHMS 61 2.3.1.1 ALGORITHMS BY ALONSO ET
AL. (2004) 62 2.3.1.2 ALGORITHMS BY DBCON (2001A) AND DIXON ET AL.
(2003) 62 2.3.1.3 ALGORITHM BY KLAPURI ET AL. (2005) 63 2.3.1.4
ALGORITHM BY SCHEIRER (1998) 64 2.3.1.5 ALGORITHMS BY TZANETAKIS AND
COOK (2002) 64 2.3.1.6 ALGORITHM BY UHLE ET AL. (2004) 65 2.3.2
EXPERIMENTAL FRAMEWORK 66 2.3.2.1 INFRASTRUCTURE 66 2.3.2.2 DATA 66
2.3.2.3 EVALUATION METHODS 70 2.3.3 RESULTS 71 2.3.3.1 ACEURACY MEASURES
AND ROBUSTNESS TO NOISE 71 2.3.3.2 ERROR ANALYSIS 75 2.4 CONCLUSIONS 81
2.4.1 PULSE INDUCTION 81 2.4.1.1 OPEN ISSUES 82 2.4.2 OTHER STAGES OF
AUTOMATIC RHYTHM DESCRIPTION 86 3 FEATURE SELECTION FOR RHYTHM
PERIODICITY FUNCTION 89 3.1 PURPOSE AND METHOD 89 3.1.1 COMPUTATION OF
BEAT AND NON-BEAT FEATURES 92 4.1.2.3 COMB FILTERBANK 146 CONTENTS 7
3.1.2.1 CLASSIFIERS 96 3.1.2.2 AUTOMATIC SUBSET GENERATION 99 3.2 DATA
AND ASSOCIATED METADATA 100 3.2.1 MUSICAL GENRES 103 3.3 LIST OF
FEATURES 104 3.3.1 SPECTRAL AND CEPSTRAL FEATURES 105 3.3.2 ONSET
DETECTION FUNCTIONS 110 3.3.3 SUBBAND ENERGIES 111 3.3.4 ERB-BASED
FEATURES 114 3.3.5 FEATURE DIFFERENTIALS 115 3.4 RESULTS 116 3.4.1
INDIVIDUAL FEATURE ACCURACIES 117 3.4.2 WHOLE FEATURE SET ACCURACY 120
3.4.3 ENERGY FEATURES 122 3.4.3.1 FREQUENCY DECOMPOSITION 124 3.4.3.2
DIFFERENTIAL VS MAGNITUDE 126 3.4.3.3 FREQUENCY SUBBAND RANKINGS 128
3.4.4 SPECTRAL FEATURES 131 3.4.5 CEPSTRAL FEATURES 135 3.4.6 ONSET
DETECTION FUNCTIONS 136 3.4.7 COMBINING FEATURES 137 3.4.8 ALL
INSTANCES IN A BAG APPROACH 137 3.5 CONCLUSIONS 140 4 TEMPO INDUCTION
143 4.1 TEMPO INDUCTION ALGORITHMS 144 4.1.1 FEATURES 144 4.1.2
PERIODICITY FUNCTION COMPUTATION 145 4.1.2.1 AUTOCORRELATION 145 4.1.2.2
FOURIER TRANSFORM 145 5.2.1 SWING ESTIMATION ALGORITHM 188 CONTENTS
4.1.3 COMBINING AND PARSING MULTIPLE INFORMATION SOURCES 147 4.2
EXPERIMENTS 149 4.2.1 DATA 149 4.2.2 EVALUATION METRICS 150 4.2.3
RESULTS 151 4.2.3.1 FEATURE SETS 152 4.2.3.2 PERIODICITY FUNCTIONS 154
4.2.3.3 COMBINING AND PARSING MULTIPLE INFORMATION SOURCES 154 4.3
COMPARISON WITH STATE-OF-THE-ART 159 4.4 CONCLUSIONS 161 APPLICATIONS OF
RHYTHM PERIODICITY FUNCTIONS 163 5.1 GENRE CLASSIFICATION 165 5.1.1
TEMPO 166 5.1.1.1 ALGORITHM 166 5.1.1.2 GENRE CLASSIFICATION EXPERIMENTS
166 5.1.2 TATUM 167 5.1.2.1 ALGORITHM 168 5.1.2.2 ALGORITHM EVALUATION
171 5.1.2.3 GENRE CLASSIFICATION EXPERIMENTS 172 5.1.3 TIME SIGNATURE
172 5.1.3.1 ALGORITHM 173 5.1.3.2 ALGORITHM EVALUATION 176 5.1.4
PERIODICITY FEATURES 176 5.1.4.1 DESCRIPTORS 176 5.1.4.2 GENRE
CLASSIFICATION EXPERIMENTS 180 5.1.5 USING EXPERT CLASSIFIERS 182
5.1.5.1 ALGORITHM 185 5.1.5.2 GENRE CLASSIFICATION EXPERIMENTS 186 5.2
CONTENT-BASED TRANSFORMATIONS 187 C SOUND DISTORTION SCRIPTS 253
CONTENTS 9 5.2.2 SWING TRANSFORMATIONS 192 5.2.3 EVALUATION 195 5.3
CONCLUSIONS 195 6 CONCLUSION 197 6.1 SUMMARY OF CONTRIBUTIONS 197 6.2
FUTURE WORK 202 6.2.1 LOW-LEVEL RHYTHMIC FEATURES 202 6.2.2 TEMPO
INDUCTION 203 6.2.2.1 PERIODICITY FUNCTIONS 203 6.2.2.2 COMBINING AND
PARSING MULTIPLE INFORMATION SOURCES 203 6.2.2.3 REDUNDANT APPROACH TO
TEMPO INDUCTION 204 6.2.2.4 TOWARDS BETTER BENCHMARKS FOR ALGORITHM
EVALUATION 206 6.2.3 RHYTHM AS A TOOL FOR RESEARCH IN HUMAN AUDITION 210
6.2.3.1 NETWORKS OF RHYTHMIC UNITS 211 6.2.3.2 LOCALIZATION OF RHYTHMIC
AREAS IN THE BRAIN 212 6.2.3.3 ACTIVE RHYTHM PERCEPTION 213 6.2.3.4
LEARNING BY SPECIALIZATION 214 6.2.3.5 TEMPO AMBIGUITY 215 6.2.3.6
PERCEPTUAL TEMPO CATEGORIES 215 BIBLIOGRAPHY 217 A DETAILED RESULTS OF
CHAPTER 4 237 B RELATED PUBLICATIONS BY THE AUTHOR 245
|
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| dewey-tens | 780 - Music |
| discipline | Informatik Musikwissenschaft |
| format | Book |
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| physical | 254 S. graph. Darst. 22 cm |
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| spelling | Gouyon, Fabien Verfasser aut Computational rhythm description a review and novel approach Fabien Gouyon Saarbrücken VDM Verlag Dr. Müller 2008 254 S. graph. Darst. 22 cm txt rdacontent n rdamedia nc rdacarrier Literatur- und URL-Verz. S. 217 - 236. - Hergestellt on demand Datenverarbeitung Musical meter and rhythm Computer programs Musical meter and rhythm Data processing Neural networks (Computer science) Rhythmus (DE-588)4132330-0 gnd rswk-swf Musik (DE-588)4040802-4 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Rhythmus (DE-588)4132330-0 s Musik (DE-588)4040802-4 s Neuronales Netz (DE-588)4226127-2 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018706603&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gouyon, Fabien Computational rhythm description a review and novel approach Datenverarbeitung Musical meter and rhythm Computer programs Musical meter and rhythm Data processing Neural networks (Computer science) Rhythmus (DE-588)4132330-0 gnd Musik (DE-588)4040802-4 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4132330-0 (DE-588)4040802-4 (DE-588)4226127-2 |
| title | Computational rhythm description a review and novel approach |
| title_auth | Computational rhythm description a review and novel approach |
| title_exact_search | Computational rhythm description a review and novel approach |
| title_full | Computational rhythm description a review and novel approach Fabien Gouyon |
| title_fullStr | Computational rhythm description a review and novel approach Fabien Gouyon |
| title_full_unstemmed | Computational rhythm description a review and novel approach Fabien Gouyon |
| title_short | Computational rhythm description |
| title_sort | computational rhythm description a review and novel approach |
| title_sub | a review and novel approach |
| topic | Datenverarbeitung Musical meter and rhythm Computer programs Musical meter and rhythm Data processing Neural networks (Computer science) Rhythmus (DE-588)4132330-0 gnd Musik (DE-588)4040802-4 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Datenverarbeitung Musical meter and rhythm Computer programs Musical meter and rhythm Data processing Neural networks (Computer science) Rhythmus Musik Neuronales Netz |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018706603&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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