Fluid Corpus Manipulation
Leafcutter John: Line Crossing
updated
To learn more about fluid.mlpregressor~ visit: learn.flucoma.org/reference/mlpregressor
learn.flucoma.org/learn/mlp-parameters
learn.flucoma.org/learn/mlp-training
Find the starter patch at:
learn.flucoma.org/examples/regressor-video-starter.pd
Find the completed patch at:
learn.flucoma.org/examples/regressor-video-demo.pd
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
For more information about the attributes of fluid.mlpclassifier~, visit learn.flucoma.org/reference/mlpclassifier
learn.flucoma.org/learn/mlp-parameters/learn.flucoma.org/learn/mlp-training
learn.flucoma.org/learn/training-testing-split
Find the starter patch here:
learn.flucoma.org/examples/classification-video-starter.pd
Find the completed patch here:
learn.flucoma.org/examples/classification-video-demo.pd
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
Chapters
0:00 Introduction
1:23 Getting into music and interactive composition
10:39 Electroacoustic and audiovisual works
20:40 Sounds
31:44 Omnipresent and PSS
36:52 Sound emerging
40:20 Ciung Wanara
41:47 The model
48:48 Instrument design
51:28 Space
58:25 Noise
1:04:32 Indonesian instruments
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:28 Getting into music and body performance
5:40 The body
10:28 Artificial intelligence
15:52 Xth Sense
24:24 Feature extraction
31:22 Corpus Nil
38:44 Open source
46:11 Amygdala
55:25 Collaborative work
1:04:10 I am your body
1:15:56 Corporate AI aesthetic
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Profile photo credit: Ugo Dalla Porta
Chapters
0:00 Introduction
1:18 Getting in to music and composition
3:29 Radio operas and narrative soundscape composition
6:05 Improvisation
7:50 Curation of sounds
10:57 Self sampling
14:35 Finding and organizing sound
18:41 Physicality of tape
21:37 Digital interfaces
25:05 The sound board and diffusion
29:18 Music in spaces
36:20 Destructive editing
41:30 Computational ideas
45:05 Sound design and composition
48:05 Tall ships
54:20 Listening
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Portrait photo credit: Courtesy La Biennale di Venezia - Andrea Avezzù
Chapters
0:00 Introduction
1:33 Getting in to music
7:34 Collaboration
17:33 Preservation
22:18 Digital spaces
28:40 Analog to digital
41:42 Gesture controllers
50:42 Gesture and sound
55:15 Corpus curation
1:01:44 Isodora
1:09:19 RNBO and technical obsolescence
1:14:52 Form
1:22:06 Thoughts on the future
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:28 Getting into sound and music tech
4:26 Space
10:34 Ambulation
15:54 Improvisation
21:44 Trust in technology
27:35 Points of failure
32:20 Configuring space
37:37 Engaging with objects
44:35 Murmurate
52:32 Smartphones
58:00 Listening
1:05:02 Collaborative thinking
1:12:27 The natural world
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:26 Getting into music and music technology
5:37 Influences in composition
7:12 Approaches to collaboration
9:21 The sound of instruments
12:04 Moving towards computers
15:47 Interface design and creative environments
23:50 Classification
26:07 Sines and onset detection
29:40 Human and machine listening
32:04 Timbre transfer
38:07 Flutes
41:32 Composing for flutes
44:35 Poetry
47:47 Macrostructure
52:08 Future work
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:16 Bora’s practice
3:20 Davis’ practice
5:31 PLOrk (Princeton Laptop Orchestra)
10:00 Instrument design
18:55 Cat’s cradle: an interactive kinetic sculpture, multi-sensor performance instrument, and electronic performance composition
23:12 Technical development process
32:18 Neural network training and gestural vocabulary
41:35 Performing the piece
47:19 Constraints and Freedoms, Chaos and Control
52:06 Collaboration with PLOrk
56:00 Theatrical approach for new music
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:04 Getting into music and background
9:45 Data sonification
30:25 Fixed pieces and improvisation
37:09 Malignant Grains
44:00 Communicating to the audience
46:28 Plotterz
51:57 Malignant Angiogenesis
58:13 Visual development
1:03:36 Data dialogues
1::11:19 Knowing data
1:14:00 AI listening
1:22:25 Creative coding environments
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
0:14 NMF for bobot and 3BP
5:02 Simulations of the self
10:11 Curating one’s sound
13:33 Walking and mythogeosonics
25:20 Places and histories
37:17 HCI and interface
48:38 Creative coding environments
57:14 Screen acreage
1:01:46 Annotations
1:14:13 Performance ecologies
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:06 Getting into music
10:25 Discovering and disclosing
15:09 The Brazen Head
24:51 Approaches to improvisation
36:26 An archival turn
43:56 The floor potage
47:48 Projects and infrastructure
50:48 Room feedback system
1:01:18 Dynamic tonality
1:11:46 An eye for abuse
1:18:52 Modalities of performance with a feedback system
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:05 Getting into music
4:37 Voice
7:12 Intermedia
11:53 Hacking and punk
15:05 Instrument design
19:55 Control and chaos
22:28 A place to find objects
27:36 Conceptual instruments
34:10 Voices from AI and experimental improvisation
41:33 Engaging with algorithms
44:55 Perspectives on sound (chatting with aliens)
48:45 Composition and translating musical ideas
53:53 Places and spaces
58:14 Interpretation
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:03 Getting into music
3:37 Defining systems
9:30 Tertiary Protentions
17:16 Stiegler’s tertiary protentions
23:25 Spatialization
28:22 Tertiary Protentions and others
32:45 Transsonic
43:20 Light as instrument
48:03 The Human Robotic Ensemble
51:40 People, systems and robots
1:00:50 The audience and robots
1:10:49 Guitar: the instrument
1:16:42 Guitar and musical thinking
1:21:24 Teaching digital creation
1:30:38 Future of Nicola’s work
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
0:55 Getting into electronic music
4:30 Collaboration
9:30 Algorithmic composition
16:45 Creative process and using ML
21:45 Describing longer musical events
26:37 Instrument design
31:15 Violin
33:20 Remixes and relationship with pre-existing music
35:52 Space, sound and gear
37:28 Computer presence
42:22 Teaching FluCoMa technologies
47:12 Future of Jess’s work
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:16 Getting into the field
3:12 Defining the “Interactive Music System”
5:30 Converge/Diverge (2019)
9:00 Implementing “states”
13:19 Different performances
15:05 Bias (2020)
21:00 Defining and analyzing “sound events”
22:30 Relationship with trainings
24:19 Working with musicians
27:36 Authorship
30:17 Balancing creative and academic work
33:52 The MusAI project
36:11 Curating corpora
40:40 Using computational techniques and the future
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:35 Background and getting into the field
3:42 Synthesis and curating sounds
7:30 Physicalities of an instrument
13:45 History of The Lady’s Glove
21:43 The agency of the instrument
26:40 Relationship with the audience
30:00 Political instruments
35:40 Discontinuing an instrument
41:35 Spring Spyre
47:40 Approach to neural network training
54:16 Neural network regression and synthesis
57:57 The subtleties of sound
1:02:25 When does a controller become and instrument?
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:26 Background and getting into the field
12:11 Approach to live coding
21:13 Talking about SEMA
26:50 Affordances and limits of the web browser
32:28 Sonic Writing, the Intelligent Instruments Lab and instrument design.
42:43 Digital organology and contemporary musicology
51:48 MIR techniques and workflow inscription
1:01:14 Instruments as objects of resistance
1:09:43 Teaching music technology
1:16:43 Future of music technology
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:55 Getting into music and music technology
3:05 Introduction to AudioGuide
5:38 The story of AudioGuide’s development
9:37 Initial pieces made with AudioGuide
14:04 Concat synthesis in Ben’s practice
16:54 Working with instrumentalists
22:04 Time and perspectives on live concat synthesis
30:18 Questions of interface
39:28 Approach to corpus curation
46:40 Having your tool used by others
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
0:17 demo
0:24 theory
3:45 begin coding
5:21 FluidDataSet
7:09 FluidBufToKr
8:38 adding data points to FluidDataSet
12:54 saving FluidDataSets to disk
16:41 training the neural network (FluidMLPRegressor)
21:04 saving the state of FluidMLPRegressor to disk
22:27 making predictions with FluidMLPRegressor
26:00 updating the MultiSliderView with the predicted values
28:31 next steps
32:27 triggering predictions on the server using FluidMLPRegressor's .kr method
To learn more about FluidMLPRegressor visit:
learn.flucoma.org/reference/mlpregressor
learn.flucoma.org/learn/mlp-parameters
learn.flucoma.org/learn/mlp-training
Starting Code: learn.flucoma.org/examples/regressor-video-starter.scd
Complete Code (without MLPRegressor .kr): learn.flucoma.org/examples/regressor-video-complete.scd
Complete Code (with MLPRegressor .kr): learn.flucoma.org/examples/regressor-video-complete-server.scd
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
Full Playlist: youtube.com/playlist?list=PLLzzOXU4pTgIZREPJy3Y6oivWI9x-nVge
Starter code from the end if this video: learn.flucoma.org/examples/2d-plot/plotter-5-starter.scd
Completed code from the end if this video: learn.flucoma.org/examples/2d-plot/plotter-5-complete.scd
Learn more about all these objects at learn.flucoma.org
2:32 FluidBufMFCC
7:18 FluidBufStats
9:20 FluidBufFlatten
10:50 FluidUMAP
16:10 adjusting FluidUMAP parameters
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #supercollider
Full Playlist: youtube.com/playlist?list=PLLzzOXU4pTgIZREPJy3Y6oivWI9x-nVge
Completed code from the end if this video: learn.flucoma.org/examples/2d-plot/plotter-4.scd
Learn more about all these objects at learn.flucoma.org
0:53 FluidLoadFolder
3:11 sum stereo buffer to mono
14:30 code refactor
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #supercollider
Full Playlist: youtube.com/playlist?list=PLLzzOXU4pTgIZREPJy3Y6oivWI9x-nVge
Completed code from the end if this video: learn.flucoma.org/examples/2d-plot/plotter-3.scd
Learn more about all these objects at learn.flucoma.org
2:20 FluidBufLoudness
4:23 FluidBufStats
5:47 FluidDataSet
11:00 FluidPlotter
14:22 FluidKDTree
19:00 scaling data
21:19 FluidNormalize
23:58 using different statistics
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #supercollider
Full Playlist: youtube.com/playlist?list=PLLzzOXU4pTgIZREPJy3Y6oivWI9x-nVge
Completed code from the end if this video: learn.flucoma.org/examples/2d-plot/plotter-2.scd
Learn more about all these objects at learn.flucoma.org
1:30 analysis
3:56 FluidBufSpectralShape
8:59 FluidBufStats
13:28 FluidBufCompose
19:15 sorting slices
21:19 playing sorted slices
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #supercollider
Full Playlist: youtube.com/playlist?list=PLLzzOXU4pTgIZREPJy3Y6oivWI9x-nVge
Completed code from the end if this video: learn.flucoma.org/examples/2d-plot/plotter-1.scd
Learn more about all these objects at learn.flucoma.org
0:16 demo
0:34 intro
1:41 slicing in real time with FluidOnsetSlice
3:52 slicing in non-real time with FluidBufOnsetSlice
5:38 visualizing slice points with FluidWaveform
6:36 playing back slices using a function
10:20 playing the slices in order
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #supercollider
Chapters
0:00 Introduction
1:29 Getting Into Music
8:20 Sonification and Musical Translations
17:40 Working with Instrumentalists
19:50 Recent Work with MLP
23:40 Training the MLP
29:38 The Conceptual Role of the MLP
35:54 Performer Visibility and Constraint on Stage
40:44 Historical Music Notation Research
45:47 Future Work with Machine Learning
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:28 Getting into music and music technology
5:30 Working in different environments
12:19 Overview of Bálint’s creative work
14:12: What is the Hum?
20:10 Describing the piece
28:27 Constructing the web (dimensionality reduction, Bálint descriptors, iterative corpus recording)
42:41 Navigating the web
57:33 Performing The Hum and processing
1:05:45 Piece recontextualisation
1:13:17 Perception of dimensions
1:20:56 Dealing with technology
1:27:30 Recording versus performance
1:36:11 The FluCoMa ecosystem
1:45:52 Approach to teaching and learning
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
2:40 Anna introduces herself and her work
6:27 MIRLCAuto project presentation
12:12 Approach to live-coding
15:15 Legibility, agency and negotiability in performance
20:43 Show us your screens!
25:13 General framework for visualisation of sound collections in musical interfaces
29:18 Collections of sounds as an aesthetic object
32:18 Spectral modeling synthesis
36:29 Approach to diffusion
39:23 Online interfaces
42:40 Audience-centric approach
48:44 Music technology post-pandemic
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
Chapters
0:00 Introduction
1:52 Zakiya & Christopher present themselves
4:53 What is PRiSM?
10:43 What is SampleRNN?
15:05 The premise for Sad Dog Eating
24:12 Clarinet multiphonics
29:58 How does Christopher approach his practice?
35:30 Working with SampleRNN
40:20 Composing with SampleRNN
52:32 The latent machine learning sound
57:03 Pairing this approach with FluCoMa for the engineer’s workflow…
1:02:12 …and for the composer’s workflow
1:08:58 SampleRNN content in Sad Dog Eating
1:16:07 Running SampleRNN at home
1:20:21 Approaches to data as an aesthetic object
1:25:19 Data and audio in all their forms
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
For more information about the attributes of fluid.mlpclassifier~, visit learn.flucoma.org/reference/mlpclassifier
learn.flucoma.org/learn/mlp-parameters
learn.flucoma.org/learn/mlp-training
learn.flucoma.org/learn/training-testing-split
Find the starter patch here:
learn.flucoma.org/examples/classification-video-starter.maxpat
Find the completed patch here:
learn.flucoma.org/examples/classification-video-demo.maxpat
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
To learn more about fluid.mlpregressor~ visit: learn.flucoma.org/reference/mlpregressor
learn.flucoma.org/learn/mlp-parameters
learn.flucoma.org/learn/mlp-training
Find the starter patch at:
learn.flucoma.org/examples/regressor-video-starter.maxpat
Find the completed patch at:
learn.flucoma.org/examples/regressor-video-demo.maxpat
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
Find the completed code here:
learn.flucoma.org/examples/2d-plot/plotter-3.maxpat
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #max
Find the completed code here:
learn.flucoma.org/examples/2d-plot/plotter-5.maxpat
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #max
Find the completed code here:
learn.flucoma.org/examples/2d-plot/plotter-4.maxpat
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #max
---
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #max
Chapters:
0:00 Introduction
1:41 How Simon got into electronic music
6:35 Music as sound
8:40 Simon's research
18:44 Musicking with other people
28:10 Themes and approaches in Simon's work
34:20 What is Kyma?
39:23 The aura left by the CCE
43:04 Moving from Kyma to Max
46:24 EMG Bracelet project using FluCoMa
55:14 Approaching a corpus map
1:02:50 Approaches to mapping
1:17:27 Electronic music communities
1:25:36 Approaches to the diffusion of other people's music
1:32:32 Aesthetic approach to diffusion
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
digital.eca.ed.ac.uk/dialogues/2021/07/08/recursion-constructors-by-richard-devine
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 9th of July 2021. The gig, ‘Liminal Spaces', celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how the artist used the software extensions, see youtu.be/_Yx8QLXZABE
Music: Richard Devine
Camera: Floyd Fishel
Video Edit: Angela Guyton
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Chapters
0:00 Introduction
1:54 Approach to playing the oboe
4:04 Oboe repertoire
7:28 Multiphonics in oboe repertoire
11:08 Experience working with electronics
12:27 Introduction to the piece Drift Shadow
15:20 The development process
20:45 The iterative process and learning about the oboe
24:05 Physical parameters
30:30 Performing the piece
32:20 Freedom in performance
37:07 Comparing to performing other pieces
44:38 Comparing to performing with other people
49:12 How the piece developed Niamh's approach
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
digital.eca.ed.ac.uk/dialogues/2021/07/08/neural-duo-by-sam-pluta-performed-by-sam-pluta-and-peter-evans
Part I is available here: youtu.be/jWwJd9UmixQ
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 9th of July 2021. The gig, ‘Liminal Spaces', celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how the artist used the software extensions, see youtu.be/_Yx8QLXZABE
Music: Sam Pluta and Peter Evans
Camera: Sam Pluta and René Pierre Allain
Video Edit: René Pierre Allain
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
digital.eca.ed.ac.uk/dialogues/2021/07/08/neural-duo-by-sam-pluta-performed-by-sam-pluta-and-peter-evans
Part II is available here: youtu.be/Nyoj9hX66gY
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 9th of July 2021. The gig, ‘Liminal Spaces', celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how the artist used the software extensions, see youtu.be/_Yx8QLXZABE
Music: Sam Pluta and Peter Evans
Camera: Sam Pluta and René Pierre Allain
Video Edit: René Pierre Allain
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
digital.eca.ed.ac.uk/dialogues/2021/07/08/drift-shadow-by-alex-harker-performed-by-niamh-dell
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 9th of July 2021. The gig, ‘Liminal Spaces', celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how the artist used the software extensions, see youtu.be/JFCwIVSN9mU
Composition and Creative Coding: Alex Harker
Oboe: Niamh Dell
Camera: Andie Brown, Jacob Hart, Tom Swift
Video Edit: Angela Guyton
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Chapters
0:00 Introduction
1:22 Getting into the world of electronic music
3:43 Discussing Empty Mind by Wim Henderickx
8:38 Electronics and orchestration
9:35 SuperCollider, live-coding and experimentation
11:43 Discussing Dialogues by Jorrit and Erik Bosgraaf
16:40 Experience with fluid.pitch~
18:45 Neural network parameter mapping
20:00 Preset and sound morphing
24:42 Perspective on technologies
27:13 Different roles in the development process
30:10 Learning new technologies
33:33 FluCoMa buffer paradigm
36:53 Teaching technologies
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
We’ve introduced stupid-yet-opininated machine listeners as mediating agents on the audio streams we share between ourselves, which will mess with the timing and character of our continual co-sampling, thus driving and being driven by our playing. Regulatory Capture happens when a monitoring agent is co-opted by the thing it monitors, and seems to be a feature of our current institutional ecology, rather than a bug. In such a spirit, these listeners come up with performance indicators and moving goalposts, based on wholly inappropriate principles, that slither around unpredictably as we try to collectively make sense of them. That’s an allegory, that is.
digital.eca.ed.ac.uk/dialogues/2021/06/23/grrrrabbing-green-rawlinson-rust-roma-rezaei
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 7th of July 2021. The gig celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how Owen used the software extensions, see youtu.be/y7iFMAtqAAM
Camera: Andie Brown, Jacob Hart, Tom Swift
Video Edit: Angela Guyton
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
Chapters
0:00 Introduction
1:40 Getting into the world of audiovisual composition
5:20 Describing Freida's practice
9:03 Perspective on reactive audio design and gesture
14:03 Using FluCoMa-related technologies
25:58 Using systems at different scales
28:22 Learning and teaching technologies
36:38 Different perspectives in development
44:53 What are computational ideas?
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725899).
A sizzling audiovisual instrument, controlled in real time by a hard-boiled operator through live coding.
digital.eca.ed.ac.uk/dialogues/2021/07/01/gerard-roma-big-fry-up
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 7th of July 2021. The gig celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how the artist used the software extensions, see youtu.be/PumyPua02dI
Music: Gerard Roma
Camera: Andie Brown, Jacob Hart, Tom Swift
Video Edit: Angela Guyton
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
The score oscillates between exact indications in traditional notation and moments of interpretative freedom. The live electronics generate musical textures and responses to the piano part in real-time without relying on pre-produced phrases. The sounds and spatial configurations are driven by the way the pianist is interpreting the score. And in the more elastic time moments, the pianist is invited to make decisions based on what the electronics are producing at that moment. I’m hoping for a two-way interaction between both."
digital.eca.ed.ac.uk/dialogues/2021/07/08/sparks-by-hans-tutschku-performed-by-mark-knoop
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 9th of July 2021. The gig, ‘Liminal Spaces', celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how the artist used the software extensions, see youtu.be/C9WZlNWd4c0
Composition and Creative Coding: Hans Tutschku
Piano: Mark Knoop
Camera: Andie Brown, Jacob Hart, Tom Swift
Video Edit: Angela Guyton
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
===
This video was recorded live at the Dialogues Festival, Edinburgh College of Art, on the 9th of July 2021. The gig, ‘Liminal Spaces', celebrated the second critical use of the Fluid Corpus Manipulation Toolbox by some of the world-leading electronic artists.
For more information on how Alice and Chris used the software extensions, see youtu.be/EfnNF61tBow
Music: Alice Eldrige and Chris Kiefer, aka Feedback Cell
Camera: Andie Brown, Jacob Hart, Tom Swift
Video Edit: Angela Guyton
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Richard Devine - Recursion Constructors
Alex Harker - Drift Shadow - with Niamh Dell, oboe
Alice Eldridge and Chris Kiefer - FeedbackFeedforward
Owen Green - Regulatory Capture - with Raw/Green/Rust
Gerard Roma - Big fry-up
Sam Pluta - Neural Duo 1 & II - with Peter Evans, trumpet
Hans Tutschku - Sparks - with Mark Knoop, piano
Presented at Dialogues Festival, Edinburgh College of Art, 6 to 10 July 2021.
Video Editing: Angela Guyton
Video Filming: Andie Brown, Jacob Hart, Floyd Fishel, Niamh Dell, René Pierre Allain, Tom Swift
Festival Production: Roderick Buchanan-Dunlop, Louis McHugh and Martin Parker
===
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Find the completed code here:
learn.flucoma.org/examples/2d-plot/plotter-4.maxpat
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data.
Website: flucoma.org
Download: flucoma.org/download
Discourse: discourse.flucoma.org
Max: cycling74.com
SuperCollider: supercollider.github.io
Pure Data: puredata.info
#machinelistening #machinelearning #flucoma #max


