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FluCoMa SIGNED

Fluid Corpus Manipulation: Creative Research in Musical Mining of Large Sound/Gesture Datasets through Foundational Access to the Latest Advances of Signal Decomposition.

Total Cost €

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EC-Contrib. €

0

Partnership

0

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 FluCoMa project word cloud

Explore the words cloud of the FluCoMa project. It provides you a very rough idea of what is the project "FluCoMa" about.

mine    expanding    unfortunately    suitable    abstracting    musical    pattern    manipulating    dependent    fluent    manipulation    algorithms    genesis    edge    dsp    modularity    descriptor    gestures    browsing    untapped    taxonomy    supercollider    concatenation    time    sonic    ways    investigators    instigates    empowering    mastered    bridging    exists    sounds    fluid    contemporary    separated    groundbreaking    aesthetic    expressive    computer    manipulations    techno    yield    area    remixing    critical    toolset    experiment    corpus    hybridisation    explored    laboratories    subversive    unexploited    corpora    decomposition    gap    degrees    max    flucoma    environments    issue    latest    transient    composition    cutting    tackle    digital    potent    interpolating    composers    sound    breakthroughs    creative    done    inherent    closed    signal    coding    library    constituents    proposes    pitched    always    first    residual    ideas    gesture    software    banks    recognition    storage    commonplace    variation    replacement   

Project "FluCoMa" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF HUDDERSFIELD 

Organization address
address: QUEENSGATE
city: HUDDERSFIELD
postcode: HD1 3DH
website: www.hud.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙997˙431 €
 EC max contribution 1˙997˙431 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2022-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF HUDDERSFIELD UK (HUDDERSFIELD) coordinator 1˙997˙431.00

Map

 Project objective

The FluCoMA project instigates new musical ways of exploiting ever-growing banks of sound and gestures within the digital composition process by bringing breakthroughs of signal decomposition DSP to the toolset of techno-fluent computer composers for the first time. Cutting-edge musical composition has always been dependent on, critical and subversive of the latest advances of technology. Unfortunately, there is a contemporary challenge inherent to aesthetic research in computer composition: an ever-expanding gap between DSP advances and their availability to musical investigators. One such advance is signal decomposition: a sound can now be separated into its transient, pitched, and residual constituents. These potent algorithms are partially available in closed software, or in laboratories, but not at a suitable level of modularity within the coding environments used by the creative researchers (Max and SuperCollider) to allow groundbreaking sonic research into a rich unexploited area: the manipulation of large sound corpora. Indeed, with access to, genesis of, and storage of large sound banks now commonplace, novel ways of abstracting and manipulating them are needed to mine their inherent potential. FluCoMa proposes to tackle this issue by bridging this gap, empowering techno-fluent aesthetic researchers with a toolset for signal decomposition within their mastered software environments, in order to experiment with new sound and gesture design untapped in large corpora. The three degrees of manipulations to be explored are (1) expressive browsing and descriptor-based taxonomy, (2) remixing, component replacement, and hybridisation by concatenation, and (3) pattern recognition at component level, with interpolating and variation making potential. These novel manipulations will yield new sounds, new musical ideas, and new approaches to large corpora. At present, no library exists allowing such cutting-edge research on creative fluid corpus manipulations to be done

 Publications

year authors and title journal last update
List of publications.
2019 Roma, Gerard ; Green, Owen ; Tremblay, Pierre Alexandre.
Adaptive Mapping of Sound Collections for Data-driven Musical Interfaces.
published pages: , ISSN: 2220-4806, DOI:
Proceedings of the International Conference on New Interfaces for Musical Expression. 2020-04-24
2019 Tremblay, Pierre Alexandre ; Green, Owen ; Roma, Gerard ; Harker, Alexander.
From Collections to Corpora: Exploring Sounds through Fluid Decomposition
published pages: , ISSN: 2223-3881, DOI:
International Computer Music Conference Proceedings 2019 2020-04-24
2019 Roma, Gerard ; Green, Owen ; Tremblay, Pierre Alexandre.
Time Scale Modification of Audio Using Non-Negative Matrix Factorization
published pages: , ISSN: 2413-6689, DOI:
Proceedings of the 22nd International Conference on Digital Audio Effects (DAFx-19) 2020-04-24
2018 John Bowers, Owen Green
All the Noises: Hijacking Listening Machines for Performative Research
published pages: , ISSN: , DOI:
2019-05-28
2018 Owen Green, Pierre Alexandre Tremblay, Gerard Roma
Interdisciplinary Research as Musical Experimentation: A case study in musicianly approaches to sound corpora
published pages: , ISSN: , DOI:
2019-05-28
2018 Roma, G., Xambó, A. & Freeman, J.
User-independent Accelerometer Gesture Recognition for Participatory Mobile Music
published pages: , ISSN: 1549-4950, DOI:
Journal of the Audio Engineering Society 2019-05-28
2018 Gerard Roma, Owen Green, Pierre Alexandre Tremblay
Stationary/transient audio separation using convolutional autoencoders
published pages: , ISSN: , DOI:
2019-05-28
2018 Gerard Roma, Owen Green, Anna Xambó, Pierre Alexandre Tremblay
A Javascript Library for Flexible Visualization of Audio Descriptors
published pages: , ISSN: , DOI:
2019-05-28
2018 Anna Xambó, Gerard Roma, Alexander Lerch, Mathieu Barthet, György Fazekas
Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases
published pages: , ISSN: , DOI:
2019-05-28
2018 Xambó, Anna; Roma, Gerard; Shah, Pratik; Tsuchiya, Takahiko; Freeman, Jason; Magerko, Brian
Turn-taking and Online Chatting in Remote and Co-located Collaborative Music Live Coding
published pages: , ISSN: 1549-4950, DOI:
Journal of the Audio Engineering Society 2019-05-28

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