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Transcript of Ism2011
Changes in Musical Culture and Practices as a result
of new Multimedia Technologies
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http://[email protected]
ISM 2011, Dec. 6
Shlomo Dubnov
Technology in Music Industry
• Delivery Channels: CD and Internet
• Production: DAW• Content Access: Music
Discovery Sites• What next ?
Market Research
• "Seeing that music industry is more diverse and fragmented, monetising the new music experience has become increasingly complex”– Dominique Leguern, Director of MIDEM
• Almost one in five music fans 'will do anything' to meet their idols, and many are happy to view ads and even share their personal information for access to free music– Synovate, Music Matters, MIDEM 2010
Music Consumption Patterns
• Cultural diversity– 63% consider themselves passionate about music – 'I couldn't care less' (1) to 'I'd listen every minute of the day if I
could' (10). – rank 6 and above: top Brazil (80%), Spain and the UK (79% each),
lowest in Australia (27%)
• Celebrity culture– 'give anything' to meet their favorite music artists US (33%), UK
(32%) and Spain (30%), China, Hong Kong, and Hungary (7%)
• Brands sponsorship– 47% of people globally don't think this is a good idea, with
Hungarians the most opposed, at 63%– 30% of people globally look out for competitions or promotions that
feature their favourite artists and bands, topped by China at 49%
Changes in Music Industry
• 1980s, the "Big 6" — EMI, CBS, BMG, PolyGram, WEA and MCA
• 1998, the "Big 5” - Sony bought CBS Records in 1987, PolyGram merged into Universal Music Group
• 2004, the “Big 4” - Sony acquired BMG• 2011, the “Big 3” - Universal acquired EMI
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Sony CD 1976 MP3 1991
1000 True Fans
Tribe / Herd
Music as a social product
True fan is a person who spends $100 on his favorite artist per year
Integrated Music Experience
• New Composition Models• Multi-Layer• Database Search• Content Matching• Interactive Sets• Generative Music• Group Intent and Coordination
Multi-Layer Representation
Layers Layer synchronization
XML Symbols for Synchronization
Semantic Web Music
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New Content Models
• Remixes
• Mashups
• Sound Clips
• Tracks
• DJ Sets
• Controllerism
• Live Improvisation
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Ophir Kutiel “Kutiman” - ThruYou
Represents and audio as a finite state automaton with similarity transitions
Audio Oracle
Provides much “cleaner” structure discovery then Similarity Matrix
Can be used for improvisation, style imitation, composition
Structure Discovery
Video Remix
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Original video is continuous shot so every jump is a recombination
http://shlomodubnov.wikidot.com/compositions
Machine Improvisation
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Memex:Piano Violin QuickTime™ and a
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Composer Duets:
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Research Topics
• Representation of musical structure• Interaction Rules, Predictive Models• Interface and Group Coordination• Automatic structure discovery
– Tonality, Chord detection– Beat detection, Tempo, Rhythm– Repetition Structure
• Characterization of Aesthetics and Emotions
Group Interaction with Music
• Distributed DJ• Live improvisation set• GUI is part of the composition
http://192.168.0.101:3000/demo
Musical Information Dynamics
• Aesthetic perception as a communication process • Music triggers cognitive processes in the listener• Structure can be measured as mutual information from past to present• The information paradox: Discover more by listening more… (you gain by learning, not get bored!) • Related to Birkhoff Aesthetic Measure
Slow brain appraisal
Fast brain processing
Self-supervision (emotions, etc.,…)
Receiver y
Channel. Source x
( , ) ( ) ( | )I x y H x H x y= −
Birkhoff’s Aesthetic Measure
M = O/C O - Perceived Order C - Complexity
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O=V+E+R+HV-F
V - verticalE - equilibriumR - rotation
HV - networkF - form
Audio Analysis
• OMRAS2
• Vamp Plugins
• Matlab tools
Summary
• Integrated music experience• More Granularity• Deeper understanding of musical structure• Easier Access to Music Knowledge• Individual and Group Interaction• More Creativity