Music similarity and retrieval: an introduction to audio- and web-based strategies
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin ; Heidelberg
Springer Berlin
[2016]
|
| Series: | The information retrieval series
volume 36 |
| Subjects: | |
| Links: | http://www.springer.com/ http://deposit.dnb.de/cgi-bin/dokserv?id=36c6b3a8c011456898c13572b2015125&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029115820&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Physical Description: | xx, 299 Seiten Illustrationen, Diagramme, Karte 23.5 cm x 15.5 cm, 0 g |
| ISBN: | 9783662497203 |
Staff View
MARC
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| 100 | 1 | |a Knees, Peter |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Music similarity and retrieval |b an introduction to audio- and web-based strategies |c Peter Knees, Markus Schedl |
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| 653 | |a Audio processing | ||
| 653 | |a Multimedia and multimodal retrieval | ||
| 653 | |a Music retrieval | ||
| 653 | |a Recommender systems | ||
| 653 | |a Retrieval models and ranking | ||
| 653 | |a Sound and music computing | ||
| 653 | |a Computer science | ||
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Record in the Search Index
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CONTENTS
1 INTRODUCTION TO MUSIC SIMILARITY AND RETRIEVAL
1.1 MUSIC INFORMATION RETRIEVAL
.
1.2 MIR FROM AN INFORMATION RETRIEVAL PERSPECTIVE
1.2.1 RETRIEVAL TASKS AND APPLICATIONS IN MIR .
1.2.2 BROWSING INTERFACES IN MIR
.
1.2.3 RECOMMENDATION TASKS AND APPLICATIONS IN MIR
1.2.4 MIR BEYOND RETRIEVAL
YY
BROWSING
YY
AND RECOMMENDATION.
1.3 MUSIC SIMILARITY
.
1.3.1 COMPUTATIONAL FACTORS OF MUSIC SIMILARITY .
1.3.2 MUSIC FEATURES
.
1.4 CONTENTS OF THIS BOOK.
1.5 EVALUATION OF MUSIC SIMILARITY ALGORITHMS.
1.5.1 EVALUATION USING PRELABELED DATA .
1.5.2 EVALUATION USING HUMAN JUDGMENTS .
1.5.3 EVALUATION USING LISTENING HISTORIES.
1.5.4 MUSIC COLLECTION AND EVALUATION IN THIS BOOK.
1.6 FURTHER READING
.
PARTI CONTENT-BASED MIR
2 BASIC METHODS OF AUDIO SIGNAL PROCESSING .
2.1 CATEGORIZATION OF ACOUSTIC MUSIC FEATURES.
2.2 SIMPLIFIED SCHEME OF A MUSIC CONTENT FEATURE EXTRACTOR .
2.2.1 ANALOG-DIGITAL CONVERSION
2.2.2 FRAMING AND WINDOWING.
2.2.3 FOURIER TRANSFORM
.
2.3 COMMON LOW-LEVEL FEATURES
.
2.3.1 TIME DOMAIN FEATURES
.
2.3.2 FREQUENCY DOMAIN FEATURES .
2.4
SUMMARY.
2.5 FURTHER READING
.
1
2
3
4
6
9
10
12
13
14
18
19
20
24
26
26
30
33
33
36
37
39
40
41
43
47
49
50
3.3.5 SIMILARITY IN THE BLOCK-LEVEL FEATURE FRAMEWORK
HUBNESS AND DISTANCE SPACE NORMALIZATION
SUMMARY
.
FURTHER READING.
3 AUDIO FEATURE EXTRACTION FOR SIMILARITY MEASUREMENT .
3.1 PSYCHOACOUSTIC
PROCESSING.
3.1.1 PHYSICAL MEASUREMENT OF SOUND INTENSITY .
3.1.2 PERCEPTUAL MEASUREMENT OF LOUDNESS . .
3.1.3 PERCEPTION OF FREQUENCY .
3.2 FRAME-LEVEL FEATURES AND SIMILARITY.
3.2.1 MEL FREQUENCY CEPSTRAL COEFFICIENTS
3.2.2 STATISTICAL SUMMARIZATION OF FEATURE VECTORS
3.2.3 VECTOR QUANTIZATION
.
3.2.4 GAUSSIAN MIXTURE MODELS .
3.2.5 SINGLE GAUSSIAN MODEL
3.3 BLOCK-LEVEL FEATURES AND SIMILARITY .
3.3.1 FLUCTUATION PATTERN.
3.3.2 LOGARITHMIC FLUCTUATION PATTERN .
3.3.3 SPECTRAL PATTERN
.
3.3.4 CORRELATION PATTERN
.
4 SEMANTIC LABELING OF MUSIC
.
4.1 GENRE CLASSIFICATION
.
4.2 AUTO-TAGGING.
4.2.1 DIFFERENCES TO CLASSIFICATION .
4.2.2 AUTO-TAGGING TECHNIQUES.
4.3 MOOD DETECTION AND EMOTION RECOGNITION .
4.3.1 MODELS TO DESCRIBE HUMAN EMOTION
4.3.2 EMOTION RECOGNITION TECHNIQUES.
4.4 SUMMARY
.
4.5 FURTHER READING.
PARTII MUSIC CONTEXT-BASED MIR
5 CONTEXTUAL MUSIC METADATA: COMPARISON AND SOURCES
5.1 WEB-BASED MUSIC INFORMATION RETRIEVAL .
5.1.1 THE WEB AS SOURCE FOR MUSIC FEATURES. .
5.1.2 COMPARISON WITH CONTENT-BASED METHODS .
5.1.3 APPLICATIONS USING WEB DATA.
5.2 DATA FORMATS FOR WEB-BASED MIR .
5.3 TAGS AND ANNOTATIONS
.
5.3.1 EXPERT ANNOTATIONS
.
5.3.2 COLLABORATIVE TAGGING.
5.3.3 GAMES WITH A PURPOSE
.
51
51
52
52
53
55
55
58
58
60
65
67
68
70
71
74
77
78
81
83
85
86
90
90
91
94
94
99
102
103
107
108
108
110
111
112
114
115
115
117
4
5
6
CONTENTS XIX
5.4 WEB
TEXTS.
119
5.4.1 WEB PAGES RELATED TO MUSIC
.
120
5.4.2 BIOGRAPHIES
YY
PRODUCT REVIEWS
YY
AND AUDIO BLOGS . 126
5.4.3 127
5.5
LYRICS.
128
5.5.1 ANALYSIS OF LYRICS ON THE W
EB. 128
5.5.2 RETTIEVAL AND
CORRECTION. 129
5.6
SUMMARY.
131
5.7 FURTHER
READING.
132
6 CONTEXTUAL MUSIC SIMILARITY
YY
INDEXING
YY
AND RETRIEVAL . 133
6.1 TEXT-BASED FEATURES AND SIMILARITY MEASURES .
133
6.1.1 VECTORSPACE M
ODEL. 134
6.1.2 LATENT SEMANTIC
INDEXING. 139
6.1.3 APPLICATIONS OF LATENT FACTOR APPROACHES . 142
6.2 TEXT-BASED INDEXING AND
RETRIEVAL. 144
6.2.1 PSEUDO DOCUMENT
INDEXING. 145
6.22
YY
DOCUMENT-CENTERED RANK-BASED SCORING. 146
6.2.3 AUTO-TAG
INDEXING.
147
6.3 SIMILARITY BASED ON
CO-OCCURENCES. 148
6.4 COMBINATION WITH AUDIO CONTENT INFORMATION . 151
6.4.1 COMBINED SIMILARITY MEASURES
.
151
6.4.2 CONTEXTUAL
FILTERING.
153
6.4.3 COMBINED TAG
PREDICTION. 154
6.5 STYLISTIC ANALYSIS AND SIMILARITY
.
155
6.6
SUMMARY.
156
6.7 FURTHER
READING.
157
P
A
RTIN USER-CENTRIC MIR
7 LISTENER-CENTERED DATA SOURCES AND ASPECTSYY I
C
E
S
OF MUSIC INTERACTION
.
161
7.1 DEFINITION AND COMPARISON OF LISTENER-CENTERED FEATURES . IBI
7.2 PERSONAL COLLECTIONS AND PEER-TO-PEER NETWORK FOLDERS 163
7.3 LISTENING HISTORIES AND P
LAL
.
164
7.4 USER
RATINGS.
169
7.5 MODELING USER CONTEXT
.
170
7.5.1 SENSOR DATA FOR MODELING USER CON^^ . 170
7.5.2 SOCIAL NETWORKS AND USER CONNECTIONS . 173
7.6 FACTORS OF USER
INTENTIONS.
174
7.7
SUMMARY.
176
7.8 FURTHER
READING.
177
8 COLLABORATIVE MUSIC S
IIA
RITY AND RECOMMENDATION . 179
8.1 SIMILARITY ESTIMATION VIA CO-OCCURRENCE
.
180
8.2 GRAPH-BASED AND DISTANCE-BASED SIMILARITY
.
182
8.3 EXPLOITING LATENT CONTEXT FROM LISTENING SESSIONS .
8.3.1 LATENT DIRICHLET
ALLOCATION.
8.3.2 CASE STUDY: ARTIST CLUSTERING FROM LISTENING EVENTS.
8.3.3 MUSIC
RECOMMENDATION.
8.4 LEARNING FROM EXPLICIT AND IMPLICIT USER FEEDBACK .
8.4.1 MEMORY-BASED COLLABORATIVE FILTERING.
8.4.2 MODEL-BASED COLLABORATIVE FILTERING .
8.5 MULTIMODAL
COMBINATION.
8.5.1 HYBRID RECOMMENDER SYSTEMS
.
8.5.2 UNINED METRIC
LEARNING.
8.6
SUMMARY.
8.7 FURTHER
READING.
PART IV CURENT A
D FUTURE APPLICATA
9 APPLICATIONS
.
9.1 MUSIC INFORMATION
SYSTEMS.
9.1.1 BAND MEMBERS AND THEIR ROLES
.
9.1.2 ARTIST'S OR BAND'S COUNTRY OF ORIGIN .
9.1.3 ALBUM COVER
ARTWORK.
9.1.4 DATA REPRESENTATION
.
9.2 USER INTERFACES TO MUSIC COLLECTIONS
.
9.2.1 MAP-BASED INTERFACES
.
9.2.2 OTHER INTELLIGENT
INTERFACES.
9.3 AUTOMATIC PLAYLIST
GENERATION.
9.4 MUSIC POPULARITY ESTIMATION
.
9.4.1 POPULARITY ESTIMATION FROM CONTEXTUAL DATA SOURCES
9.4.2 COMPARISON OF DATA
SOURCES.
9.5
SUMMARY.
10 GRAND CHALLENGES AND
OUTLOOK.
10.1 MAJOR
CHALLENGES.
10.1.1 METHODOLOGICAL CHALLENGES
.
10.1.2 DATA-RELATAD CHALLENGES
.
10.1.3 USER-CENTRIC CHALLENGES
.
10.1.4 GENERAL
CHALLENGES.
10.2 FUTURE
DIRECTIONS.
A DESCRIPTION OF THE TOY MUSIC DATA SET
.
YY.1 ELECTRONIC M
USIC.
YY.2 CLASSICAL
MUSIC.
YY.3 HEAVY M
ETAL.
YY.4
RAP.
YY.5
POP.
6
6
H
0
H
2
4
8
8
5
8
0
8
8
8
9
9
9
9
9
9
0
0
1
1
H
H
1
H
H
H
H
H
H
2
2
2
5
5
6
6
7
8
8
8
0
3
9
0
4
5
H
H
H
H
H
H
H
1
3
3
3
4
4
4
2
2
2
2
2
2
2
2
2
2
YY
2
2
2
7
7
8
9
0
1
2
4
4
4
4
5
5
5
2
2
2
2
2
2
2
5
5
7
9
1
3
5
5
5
5
6
6
2
2
2
2
2
2
INDEX
293 |
| any_adam_object | 1 |
| author | Knees, Peter Schedl, Markus |
| author_facet | Knees, Peter Schedl, Markus |
| author_role | aut aut |
| author_sort | Knees, Peter |
| author_variant | p k pk m s ms |
| building | Verbundindex |
| bvnumber | BV043703461 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)941673824 (DE-599)DNB1083021893 |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV043703461 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T14:19:40Z |
| institution | BVB |
| institution_GND | (DE-588)1065168780 |
| isbn | 9783662497203 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029115820 |
| oclc_num | 941673824 |
| open_access_boolean | |
| owner | DE-12 DE-29T DE-20 |
| owner_facet | DE-12 DE-29T DE-20 |
| physical | xx, 299 Seiten Illustrationen, Diagramme, Karte 23.5 cm x 15.5 cm, 0 g |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer Berlin |
| record_format | marc |
| series | The information retrieval series |
| series2 | The information retrieval series |
| spelling | Knees, Peter Verfasser aut Music similarity and retrieval an introduction to audio- and web-based strategies Peter Knees, Markus Schedl Berlin ; Heidelberg Springer Berlin [2016] xx, 299 Seiten Illustrationen, Diagramme, Karte 23.5 cm x 15.5 cm, 0 g txt rdacontent n rdamedia nc rdacarrier The information retrieval series volume 36 Information Retrieval (DE-588)4072803-1 gnd rswk-swf Musik (DE-588)4040802-4 gnd rswk-swf Ähnlichkeitsmaß (DE-588)4642050-2 gnd rswk-swf KJQ Audio processing Multimedia and multimodal retrieval Music retrieval Recommender systems Retrieval models and ranking Sound and music computing Computer science Musik (DE-588)4040802-4 s Information Retrieval (DE-588)4072803-1 s Ähnlichkeitsmaß (DE-588)4642050-2 s DE-604 b DE-604 Schedl, Markus Verfasser aut Springer-Verlag GmbH (DE-588)1065168780 pbl The information retrieval series volume 36 (DE-604)BV024629453 36 http://www.springer.com/ Verlag X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=36c6b3a8c011456898c13572b2015125&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029115820&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Knees, Peter Schedl, Markus Music similarity and retrieval an introduction to audio- and web-based strategies The information retrieval series Information Retrieval (DE-588)4072803-1 gnd Musik (DE-588)4040802-4 gnd Ähnlichkeitsmaß (DE-588)4642050-2 gnd |
| subject_GND | (DE-588)4072803-1 (DE-588)4040802-4 (DE-588)4642050-2 |
| title | Music similarity and retrieval an introduction to audio- and web-based strategies |
| title_auth | Music similarity and retrieval an introduction to audio- and web-based strategies |
| title_exact_search | Music similarity and retrieval an introduction to audio- and web-based strategies |
| title_full | Music similarity and retrieval an introduction to audio- and web-based strategies Peter Knees, Markus Schedl |
| title_fullStr | Music similarity and retrieval an introduction to audio- and web-based strategies Peter Knees, Markus Schedl |
| title_full_unstemmed | Music similarity and retrieval an introduction to audio- and web-based strategies Peter Knees, Markus Schedl |
| title_short | Music similarity and retrieval |
| title_sort | music similarity and retrieval an introduction to audio and web based strategies |
| title_sub | an introduction to audio- and web-based strategies |
| topic | Information Retrieval (DE-588)4072803-1 gnd Musik (DE-588)4040802-4 gnd Ähnlichkeitsmaß (DE-588)4642050-2 gnd |
| topic_facet | Information Retrieval Musik Ähnlichkeitsmaß |
| url | http://www.springer.com/ http://deposit.dnb.de/cgi-bin/dokserv?id=36c6b3a8c011456898c13572b2015125&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029115820&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV024629453 |
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