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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.

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

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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