SlideShare a Scribd company logo
1 of 54
Theoretic and artistic research  studying opportunities of symbiosis  of Western and non-Western  musical idiom  (2008-2014) Olmo Cornelis
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DEKKMMA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Actual problem I
[object Object],[object Object],[object Object],[object Object],Actual problem  II
Work Path ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Listen and encounter Define research question Set up frame work (methodology) Experimental phase Composition    Experiment Evaluation Composition Concert
Method ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Historical tendencies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Method
Music Information Retrieval ,[object Object],[object Object],[object Object],[object Object],[object Object]
Music Information Retrieval ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Music Information Retrieval ,[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],(MIR) considerations
Work Path ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Listen and encounter Define research question Set up frame work (methodology) Experimental phase Composition    Experiment Evaluation Composition Concert
Artistic research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Musical elements
Musical elements Text  Timbre  Pitch  Time  Dynamics
Musical elements
Musical elements
Musical elements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Musical elements
Musical elements
Approach Artistic Research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results
Framework TARSOS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Framework TARSOS
Demo
Exploring African Tone Scales ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Exploring African Tone Scales Remarkable finding 1: the evolution of the increasing number of pitches in the scale through time.
Exploring African Tone Scales Remarkable finding 2: Increase of ‘regular’ intervals in recent years. Remarkable finding 3: Specific ‘irregular’ intervals (e.g. 160 or 370 cents) Interval < 1960 1960-75 > 1975 min.2nd 1,46 1,87 2,20 maj.2nd 1,57  1,71 5,20 min.3rd 2,26  3,39 2,84 maj.3rd 1,25  1,28 2,78 4th/5th 2,55  2,56 5,31 sum 9,10  10,81 18,33
Pitch (melody) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ngomi ngomi:
Rhythm and tempo ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
Tempo ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tempo 1 2 5 3 3 2 2 meter 1 1 4 0 0 0 0 other relation 0 3 0 3 1 0 0 binary/ternary 2 2 2 2 2 4 0 tempo octave 6 3 3 4 6 4 9 identic tempo consistency 107-121 92 92 144 63 65 129 median tempo 65 92 44 96 125 130 129 subject 9 94 69 122 73 63 64 129 subject 8 221 93 92 144 63 132 129 subject 7 117 92 92 47 63 124 129 subject 6 121 238 178 144 69 x 129 subject 5 115 140 130 142 129 127 129 subject 4 107 121 46 95 63 65 129 subject 3 122 186 111 144 63 65 129 subject 2 53 46 92 72 190 65 129 subject 1 no.1 no.69 no.49 no.31 no.30 no.20 no.6 song nr
Microtiming
Rhythm ,[object Object],[object Object],[object Object],[object Object]
EME ,[object Object],[object Object]
EME ,[object Object],[object Object],[object Object]
 
 
[object Object],[object Object],[object Object]
Next ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dissemination ,[object Object],[object Object],[object Object],[object Object],[object Object]
Publications ,[object Object],[object Object],[object Object]
Compositions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Doctoral Schools
Website ,[object Object],[object Object]
30% ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

From Music Information Retrieval to Music Emotion Recognition
From Music Information Retrieval to Music Emotion RecognitionFrom Music Information Retrieval to Music Emotion Recognition
From Music Information Retrieval to Music Emotion Recognition
Rui Pedro Paiva
 
Music Information Retrieval: Overview and Current Trends 2008
Music Information Retrieval: Overview and Current Trends 2008Music Information Retrieval: Overview and Current Trends 2008
Music Information Retrieval: Overview and Current Trends 2008
Rui Pedro Paiva
 

What's hot (8)

Semantic Linking of Information, Content and Metadata for Early Music (SLICKM...
Semantic Linking of Information, Content and Metadata for Early Music (SLICKM...Semantic Linking of Information, Content and Metadata for Early Music (SLICKM...
Semantic Linking of Information, Content and Metadata for Early Music (SLICKM...
 
Understanding Music Playlists
Understanding Music PlaylistsUnderstanding Music Playlists
Understanding Music Playlists
 
Social Tags and Music Information Retrieval (Part I)
Social Tags and Music Information Retrieval (Part I)Social Tags and Music Information Retrieval (Part I)
Social Tags and Music Information Retrieval (Part I)
 
Music mobile
Music mobileMusic mobile
Music mobile
 
Music Objects to Social Machines
Music Objects to Social MachinesMusic Objects to Social Machines
Music Objects to Social Machines
 
From Music Information Retrieval to Music Emotion Recognition
From Music Information Retrieval to Music Emotion RecognitionFrom Music Information Retrieval to Music Emotion Recognition
From Music Information Retrieval to Music Emotion Recognition
 
Music Information Retrieval: Overview and Current Trends 2008
Music Information Retrieval: Overview and Current Trends 2008Music Information Retrieval: Overview and Current Trends 2008
Music Information Retrieval: Overview and Current Trends 2008
 
Annotating Music Collections: How Content-Based Similarity Helps to Propagate...
Annotating Music Collections: How Content-Based Similarity Helps to Propagate...Annotating Music Collections: How Content-Based Similarity Helps to Propagate...
Annotating Music Collections: How Content-Based Similarity Helps to Propagate...
 

Viewers also liked

The Story of the Semantic Grid
The Story of the Semantic GridThe Story of the Semantic Grid
The Story of the Semantic Grid
butest
 

Viewers also liked (11)

Collaboration and Sharing
Collaboration and SharingCollaboration and Sharing
Collaboration and Sharing
 
An Introduction to Force11 at WWW2013
An Introduction to Force11 at WWW2013An Introduction to Force11 at WWW2013
An Introduction to Force11 at WWW2013
 
The Story of the Semantic Grid
The Story of the Semantic GridThe Story of the Semantic Grid
The Story of the Semantic Grid
 
Advances in Digital Scholarship Moot
Advances in Digital Scholarship MootAdvances in Digital Scholarship Moot
Advances in Digital Scholarship Moot
 
Social Machines IIIT
Social Machines IIITSocial Machines IIIT
Social Machines IIIT
 
myExperiment - Defining the Social Virtual Research Environment
myExperiment - Defining the Social Virtual Research EnvironmentmyExperiment - Defining the Social Virtual Research Environment
myExperiment - Defining the Social Virtual Research Environment
 
Advances in Digital Scholarship
Advances in Digital ScholarshipAdvances in Digital Scholarship
Advances in Digital Scholarship
 
Evolution of e-Research
Evolution of e-ResearchEvolution of e-Research
Evolution of e-Research
 
2066 and all that
2066 and all that2066 and all that
2066 and all that
 
Observing Social Machines Part 1: What to Observe?
Observing Social Machines Part 1: What to Observe?Observing Social Machines Part 1: What to Observe?
Observing Social Machines Part 1: What to Observe?
 
Linked Data Publication of Live Music Archives
Linked Data Publication of Live Music ArchivesLinked Data Publication of Live Music Archives
Linked Data Publication of Live Music Archives
 

Similar to Denktank 2010

Collins
CollinsCollins
Collins
anesah
 
SYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALS
SYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALSSYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALS
SYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALS
Nadia Mezey
 
Musicasmath kenjames11-140810225714-phpapp02
Musicasmath kenjames11-140810225714-phpapp02Musicasmath kenjames11-140810225714-phpapp02
Musicasmath kenjames11-140810225714-phpapp02
veli erdal
 

Similar to Denktank 2010 (20)

The convergence of "hard" and "soft"in music technology, Rolf Inge Godøy, UiO
The convergence of "hard" and "soft"in music technology, Rolf Inge Godøy, UiOThe convergence of "hard" and "soft"in music technology, Rolf Inge Godøy, UiO
The convergence of "hard" and "soft"in music technology, Rolf Inge Godøy, UiO
 
楊奕軒/音樂資料檢索
楊奕軒/音樂資料檢索楊奕軒/音樂資料檢索
楊奕軒/音樂資料檢索
 
20211026 taicca 1 intro to mir
20211026 taicca 1 intro to mir20211026 taicca 1 intro to mir
20211026 taicca 1 intro to mir
 
Discovery and Characterization of Melodic Motives in Large Audio Music Collec...
Discovery and Characterization of Melodic Motives in Large Audio Music Collec...Discovery and Characterization of Melodic Motives in Large Audio Music Collec...
Discovery and Characterization of Melodic Motives in Large Audio Music Collec...
 
Ism2011
Ism2011Ism2011
Ism2011
 
MIR
MIRMIR
MIR
 
Discovering music: small-scale, web-scale, facets, and beyond-Belford
Discovering music: small-scale, web-scale, facets, and beyond-BelfordDiscovering music: small-scale, web-scale, facets, and beyond-Belford
Discovering music: small-scale, web-scale, facets, and beyond-Belford
 
Music Archaeology for RuidalSud
Music Archaeology for RuidalSudMusic Archaeology for RuidalSud
Music Archaeology for RuidalSud
 
Introduction to Music Information Retrieval
Introduction to Music Information RetrievalIntroduction to Music Information Retrieval
Introduction to Music Information Retrieval
 
Challenges and Opportunities in Digital Musicology
Challenges and Opportunities in Digital Musicology Challenges and Opportunities in Digital Musicology
Challenges and Opportunities in Digital Musicology
 
Introduction to Music Information Retrieval
Introduction to Music Information RetrievalIntroduction to Music Information Retrieval
Introduction to Music Information Retrieval
 
Towards a musical Semantic Web
Towards a musical Semantic WebTowards a musical Semantic Web
Towards a musical Semantic Web
 
Human Perception and Recognition of Musical Instruments: A Review
Human Perception and Recognition of Musical Instruments: A ReviewHuman Perception and Recognition of Musical Instruments: A Review
Human Perception and Recognition of Musical Instruments: A Review
 
Collins
CollinsCollins
Collins
 
Leereenheid 8
Leereenheid 8Leereenheid 8
Leereenheid 8
 
Crowdsourcing and Semantic Enrichments for European Cultural Heritage
Crowdsourcing and Semantic Enrichments for European Cultural HeritageCrowdsourcing and Semantic Enrichments for European Cultural Heritage
Crowdsourcing and Semantic Enrichments for European Cultural Heritage
 
SYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALS
SYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALSSYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALS
SYLLABUS_PART_1 PRELIMINARY MUSICAL MATERIALS
 
Session 1 Musicology Introduction
Session 1  Musicology  IntroductionSession 1  Musicology  Introduction
Session 1 Musicology Introduction
 
Music data mining
Music  data miningMusic  data mining
Music data mining
 
Musicasmath kenjames11-140810225714-phpapp02
Musicasmath kenjames11-140810225714-phpapp02Musicasmath kenjames11-140810225714-phpapp02
Musicasmath kenjames11-140810225714-phpapp02
 

Recently uploaded

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data PlatformLess Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Quantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation ComputingQuantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation Computing
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
API Governance and Monetization - The evolution of API governance
API Governance and Monetization -  The evolution of API governanceAPI Governance and Monetization -  The evolution of API governance
API Governance and Monetization - The evolution of API governance
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 

Denktank 2010

  • 1. Theoretic and artistic research studying opportunities of symbiosis of Western and non-Western musical idiom (2008-2014) Olmo Cornelis
  • 2.
  • 3.
  • 4.
  • 5.  
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.  
  • 15.
  • 16.
  • 17.
  • 18.
  • 20. Musical elements Text Timbre Pitch Time Dynamics
  • 23.
  • 26.
  • 28.
  • 29.
  • 30. Demo
  • 31.
  • 32. Exploring African Tone Scales Remarkable finding 1: the evolution of the increasing number of pitches in the scale through time.
  • 33. Exploring African Tone Scales Remarkable finding 2: Increase of ‘regular’ intervals in recent years. Remarkable finding 3: Specific ‘irregular’ intervals (e.g. 160 or 370 cents) Interval < 1960 1960-75 > 1975 min.2nd 1,46 1,87 2,20 maj.2nd 1,57 1,71 5,20 min.3rd 2,26 3,39 2,84 maj.3rd 1,25 1,28 2,78 4th/5th 2,55 2,56 5,31 sum 9,10 10,81 18,33
  • 34.
  • 35.
  • 36.  
  • 37.  
  • 38.
  • 39. Tempo 1 2 5 3 3 2 2 meter 1 1 4 0 0 0 0 other relation 0 3 0 3 1 0 0 binary/ternary 2 2 2 2 2 4 0 tempo octave 6 3 3 4 6 4 9 identic tempo consistency 107-121 92 92 144 63 65 129 median tempo 65 92 44 96 125 130 129 subject 9 94 69 122 73 63 64 129 subject 8 221 93 92 144 63 132 129 subject 7 117 92 92 47 63 124 129 subject 6 121 238 178 144 69 x 129 subject 5 115 140 130 142 129 127 129 subject 4 107 121 46 95 63 65 129 subject 3 122 186 111 144 63 65 129 subject 2 53 46 92 72 190 65 129 subject 1 no.1 no.69 no.49 no.31 no.30 no.20 no.6 song nr
  • 41.
  • 42.
  • 43.
  • 44.  
  • 45.  
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 52.
  • 53.
  • 54.