tag :: music | BibSonomy

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1Music and Computers - a brilliant online free book.
http://music.dartmouth.edu/~book/
20 years ago by @jagbot
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learning
computing
music
learningcomputingmusic
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1Music Animation Machine by Stephen Malinowski: Downloads [QuickTime animations]
http://www.well.com/user/smalin/download.html
20 years ago by @jagbot
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music
music
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1Cellular automata and music
http://www-106.ibm.com/developerworks/java/library/j-camusic/?ca=dgr-lnxwj01j-camusic
20 years ago by @jagbot
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1eDonkey2000 - Overnet
http://www.edonkey2000.com/
20 years ago by @vitelot
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NET
FREEWARE
P2P
software
filesharing
eDonkey
Music
NETFREEWAREP2PsoftwarefilesharingeDonkeyMusic
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9CLASSICAL MUSIC ARCHIVES - CLASSICAL MUSIC
http://www.classicalarchives.com/
20 years ago by @vitelot
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ARTE
MUSICA
music
classical
mp3
midi
archives
ARTEMUSICAmusicclassicalmp3midiarchives
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4ON CLASSICAL. Free classical MIDI files & fugue theory
http://www.kunstderfuge.com/
20 years ago by @vitelot
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ARTE
MUSICA
music
Midi
classical
Reference
ARTEMUSICAmusicMidiclassicalReference
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2The Acoustical Society of America
http://asa.aip.org/
20 years ago by @vitelot
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SCIENZE
FISICA
ACUSTICA
acoustics
research
Audio
music
society
SCIENZEFISICAACUSTICAacousticsresearchAudiomusicsociety
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1Coverall CD Audio Covers
http://coverall.domaggiore.it/
21 years ago by @vitelot
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ARTE
MUSICA
covers
Music
cd
search
ARTEMUSICAcoversMusiccdsearch
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10cdcovers.cc - World's Largest Cover Archive
http://www.cdcovers.cc/
21 years ago by @vitelot
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ARTE
MUSICA
covers
dvd
cd
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ARTEMUSICAcoversdvdcdmusic
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1Gnutella: Welcome to Gnutella
http://gnutella.wego.com/
23 years ago by @vitelot
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NET
FREEWARE
software
Music
NETFREEWAREsoftwareMusic
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2MP3 Software - MP3Machine
http://www.mp3machine.com/
23 years ago by @vitelot
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ARTE
MUSICA
mp3
music
software
audio
ARTEMUSICAmp3musicsoftwareaudio
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4Welcome to Gracenote
http://www.cddb.com/
23 years ago by @vitelot
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ARTE
MUSICA
Music
media
audio
reference
Database
ARTEMUSICAMusicmediaaudioreferenceDatabase
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1Standard MIDI Files on the Net
http://www.aitech.ac.jp/~ckelly/SMF.html
24 years ago by @vitelot
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MUSICA
music
ARTEMUSICAmusic
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1Classical MIDI Archives © 2000 Pierre R. Schwob
http://www.prs.net/midi.html
24 years ago by @vitelot
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ARTE
MUSICA
Music
midi
ARTEMUSICAMusicmidi
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9MP3.com: free mp3 downloads online cd jukebox MP3 music greeting cards
http://www.mp3.com/
24 years ago by @vitelot
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arte
mp3
audio
music
musica
reviews
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artemp3audiomusicmusicareviewsdownloads
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3Klassik Radio Musik zum Entspannen und Geniessen
http://www.klassikradio.de/
27 years ago by @vitelot
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ARTE
MUSICA
radio
music
musik
klassik
streaming
ARTEMUSICAradiomusicmusikklassikstreaming
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2PiJAMA: Piano Jazz with Automatic MIDI Annotations
D. Edwards, S. Dixon, and E. Benetos. Transactions of the International Society for Music Information Retrieval, 6 (1): 89–102 (2023)
2 days ago by @topel
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mir
music
music_generation
mirmusicmusic_generation
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1Psychophysiology and psychoacoustics of music: Perception of complex sound in normal subjects and psychiatric patients
S. Iakovides, V. Iliadou, V. Bizeli, S. Kaprinis, K. Fountoulakis, and G. Kaprinis. Annals of General Hospital Psychiatry, (2004)
12 days ago by @tabularii
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music
perception
psychiatry
psychoacoustics
sound
musicperceptionpsychiatrypsychoacousticssound
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2Music Streaming Services: Understanding the drivers of customer purchase and intention to recommend these services
M. Lopes Barata. (2021)
2 months ago by @andreagulam
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industry
music
services
streaming
industrymusicservicesstreaming
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2Music Streaming Services: Understanding the drivers of customer purchase and intention to recommend these services
M. Lopes Barata. (2021)
2 months ago by @sop2-ffzg
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streaming
music
services
industry
from:andreagulam
streamingmusicservicesindustryfrom:andreagulam
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2What the digitalisation of music tells us about capitalism, culture and the power of the information technology sector
D. Hesmondhalgh, and L. Meier. (2017)
2 months ago by @sop2-ffzg
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music
culture
technology
from:andreagulam
musicculturetechnologyfrom:andreagulam
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2What the digitalisation of music tells us about capitalism, culture and the power of the information technology sector
D. Hesmondhalgh, and L. Meier. (2017)
2 months ago by @andreagulam
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culture
music
technology
culturemusictechnology
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1What the digitalisation of music tells us about capitalism, culture and the power of the information technology sector
D. Meier. (2017)
2 months ago by @sop2-ffzg
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music
culture
technology
from:andreagulam
musicculturetechnologyfrom:andreagulam
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2Musical Exploration via Streaming Services: The Norwegian Experience
Y. Kjus. (2016)
2 months ago by @andreagulam
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discovery
music
services
streaming
discoverymusicservicesstreaming
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2Musical Exploration via Streaming Services: The Norwegian Experience
Y. Kjus. (2016)
2 months ago by @sop2-ffzg
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streaming
music
services
discovery
from:andreagulam
streamingmusicservicesdiscoveryfrom:andreagulam
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4Effects of recommendations on the playlist creation behavior of users
I. Kamehkhosh, G. Bonnin, and D. Jannach. User Modeling and User-Adapted Interaction, 30 (2): 285--322 (Apr 1, 2020)
2 months ago by @sop2-ffzg
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analysis
consumption
preferences
Mobile
Recommendation
platforms
Music
Automated
Playlists
Online
Choice
User
study
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from:kamber
Spotify
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music
systems
Interactive
digitization
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analysisconsumptionpreferencesMobileRecommendationplatformsMusicAutomatedPlaylistsOnlineChoiceUserstudytoolsrecommendationsfrom:kamberSpotifyPlayliststreamingmusicsystemsInteractivedigitizationconstructionappsbehaviorcreation
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2From User Context to Tailored Playlists: A User Centered Approach to Improve Music Recommendation System
W. Assuncao, R. Prates, and L. Zaina. Proceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems, ACM, (October 2023)
2 months ago by @sop2-ffzg
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User
engagement
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habits
recommendation
playlists
Method
User-created
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from:kamber
Inspection
experience
Technology
Accuracy
Contextual
Preferences
Listening
Intermediate
Music
Model
Cold-start
Semiotic
Track
UserengagementAcceptancehabitsrecommendationplaylistsMethodUser-createdanalysisfrom:kamberInspectionexperienceTechnologyAccuracyContextualPreferencesListeningIntermediateMusicModelCold-startSemioticTrack
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3LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
M. Schedl, S. Brandl, O. Lesota, E. Parada-Cabaleiro, D. Penz, and N. Rekabsaz. ACM SIGIR Conference on Human Information Interaction and Retrieval, ACM, (March 2022)
2 months ago by @sop2-ffzg
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listening
in
Collaborative
approaches
analysis
Fairness
classification
Content-based
Demographic
dataset
Music
Genre
information
User
records
data
Metadata
from:kamber
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Recommender
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Algorithmic
Last.fm
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listeninginCollaborativeapproachesanalysisFairnessclassificationContent-basedDemographicdatasetMusicGenreinformationUserrecordsdataMetadatafrom:kambersystemsRecommenderbiasesAlgorithmicLast.fmStylerecommenderLyrics
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2Multi-agent system application for music features extraction, meta-classification and context analysis
J. Perez-Marcos, D. Jimenez-Bravo, J. De Paz, G. Villarrubia Gonzalez, V. Lopez, and A. Gil. Knowledge and Information Systems, 62 (1): 401--422 (Jan 1, 2020)
2 months ago by @sop2-ffzg
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Auto-classification
Social
Performance
Multi-label
analysis
intelligence
classification
Meta-classifiers
Single-label
Distributed
Emotional
Music
processing
Genre
information
Artificial
Twitter
recommendation
learning
networks
from:kamber
Machine
Multi-agent
systems
Contextual
Last.fm
evaluation
Multi-classification
Auto-classificationSocialPerformanceMulti-labelanalysisintelligenceclassificationMeta-classifiersSingle-labelDistributedEmotionalMusicprocessingGenreinformationArtificialTwitterrecommendationlearningnetworksfrom:kamberMachineMulti-agentsystemsContextualLast.fmevaluationMulti-classification
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2The Impact of Algorithmically Driven Recommendation Systems on Music Consumption and Production: A Literature Review
D. Hesmondhalgh, R. Campos Valverde, D. Kaye, and Z. Li. UK Centre for Data Ethics and Innovation Reports, (2023)
2 months ago by @sop2-ffzg
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music
systems
recommendation
algorithm
from:kamber
musicsystemsrecommendationalgorithmfrom:kamber
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3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach
M. Pichl, E. Zangerle, and G. Specht. Int. J. Multimed. Data Eng. Manag., 8 (4): 44–59 (Oct 1, 2017)
2 months ago by @sop2-ffzg
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Analysis
Learning
Content
Music
Retrieval
Data
Information
from:kamber
Machine
User-Generated
AnalysisLearningContentMusicRetrievalDataInformationfrom:kamberMachineUser-Generated
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4Effects of recommendations on the playlist creation behavior of users
I. Kamehkhosh, G. Bonnin, and D. Jannach. User Modeling and User-Adapted Interaction, 30 (2): 285--322 (Apr 1, 2020)
3 months ago by @kamber
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Automated
Choice
Interactive
Mobile
Music
Online
Playlist
Playlists
Recommendation
Spotify
User
analysis
apps
behavior
construction
consumption
creation
digitization
music
platforms
preferences
recommendations
streaming
study
systems
tools
AutomatedChoiceInteractiveMobileMusicOnlinePlaylistPlaylistsRecommendationSpotifyUseranalysisappsbehaviorconstructionconsumptioncreationdigitizationmusicplatformspreferencesrecommendationsstreamingstudysystemstools
(0)
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2From User Context to Tailored Playlists: A User Centered Approach to Improve Music Recommendation System
W. Assuncao, R. Prates, and L. Zaina. Proceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems, ACM, (October 2023)
3 months ago by @kamber
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Acceptance
Accuracy
Cold-start
Contextual
Inspection
Intermediate
Listening
Method
Model
Music
Preferences
Semiotic
Technology
Track
User
User-created
analysis
engagement
experience
habits
playlists
recommendation
AcceptanceAccuracyCold-startContextualInspectionIntermediateListeningMethodModelMusicPreferencesSemioticTechnologyTrackUserUser-createdanalysisengagementexperiencehabitsplaylistsrecommendation
(0)
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3LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
M. Schedl, S. Brandl, O. Lesota, E. Parada-Cabaleiro, D. Penz, and N. Rekabsaz. ACM SIGIR Conference on Human Information Interaction and Retrieval, ACM, (March 2022)
3 months ago by @kamber
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Algorithmic
Collaborative
Content-based
Demographic
Fairness
Genre
Last.fm
Lyrics
Metadata
Music
Recommender
Style
User
analysis
approaches
biases
classification
data
dataset
in
information
listening
recommender
records
systems
AlgorithmicCollaborativeContent-basedDemographicFairnessGenreLast.fmLyricsMetadataMusicRecommenderStyleUseranalysisapproachesbiasesclassificationdatadatasetininformationlisteningrecommenderrecordssystems
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