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

Pubblicazioni

Digging it: Programmatic Data Mining as Musicking

Autori: Pierre Alexandre Tremblay; Gerard Roma; Owen Green
Pubblicato in: International Computer Music Conference Proceedings, 2021, ISSN 2223-3881
Editore: Pontificia Universidad Católica de Chile

Graph-Based Audio Looping And Granulation

Autori: Gerard Roma; Pierre Alexandre Tremblay; Owen Green
Pubblicato in: Proceedings of the International Conference on Digital Audio Effects (DAFx), 2021, ISSN 2413-6700
Editore: ienna University of Music and Performing Arts

Teaching Critical Machine Listening and Machine Learning with FluCoMa

Autori: Pierre Alexandre Tremblay, Owen Green, James Bradbury, Theodore Moore
Pubblicato in: International Computer Music Conference, 2022
Editore: ICMA

Audio Morphing Using Matrix Decomposition and Optimal Transport

Autori: Gerard Roma, Owen Green, Pierre Alexandre Tremblay
Pubblicato in: Proceedings of the 23rd International Conference on Digital Audio Effects, Numero 23, 2020, Pagina/e 147-154, ISSN 2413-6689
Editore: DAFx

Stationary/transient audio separation using convolutional autoencoders

Autori: Gerard Roma, Owen Green, Pierre Alexandre Tremblay
Pubblicato in: 2018, ISSN 2413-6700
Editore: DAFx-18

A Javascript Library for Flexible Visualization of Audio Descriptors

Autori: Gerard Roma, Owen Green, Anna Xambó, Pierre Alexandre Tremblay
Pubblicato in: 2018
Editore: WAC-2018

Interdisciplinary Research as Musical Experimentation: A case study in musicianly approaches to sound corpora

Autori: Owen Green, Pierre Alexandre Tremblay, Gerard Roma
Pubblicato in: Proceedings of the Electroacoustic Music Studies Network Conference, 2018, ISBN 9782-957214419
Editore: EMS
DOI: 10.5281/zenodo.3714536

All the Noises: Hijacking Listening Machines for Performative Research

Autori: John Bowers, Owen Green
Pubblicato in: 2018
Editore: NIME-18

Adaptive Mapping of Sound Collections for Data-driven Musical Interfaces.

Autori: Roma, Gerard ; Green, Owen ; Tremblay, Pierre Alexandre.
Pubblicato in: Proceedings of the International Conference on New Interfaces for Musical Expression., 2019, ISSN 2220-4806
Editore: NIME

Time Scale Modification of Audio Using Non-Negative Matrix Factorization

Autori: Roma, Gerard ; Green, Owen ; Tremblay, Pierre Alexandre.
Pubblicato in: Proceedings of the 22nd International Conference on Digital Audio Effects (DAFx-19), 2019, ISSN 2413-6689
Editore: dafx

From Collections to Corpora: Exploring Sounds through Fluid Decomposition

Autori: Tremblay, Pierre Alexandre ; Green, Owen ; Roma, Gerard ; Harker, Alexander.
Pubblicato in: International Computer Music Conference Proceedings 2019, 2019, ISSN 2223-3881
Editore: NYCEMF

Handwaving - Gesture Recognition for Participatory Mobile Music

Autori: Gerard Roma, Anna Xambó, Jason Freeman
Pubblicato in: Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences - AM '17, 2017, Pagina/e 1-7, ISBN 9781-450353731
Editore: ACM Press
DOI: 10.1145/3123514.3123538

The creative process as instrument making: a case study of four electronic musicians.

Autori: Hart, Jacob
Pubblicato in: Proceedings of the Tracking the Creative Process in Music Conference, 2019
Editore: CESEM

Identifier et analyser les potentialités sonores d'un instrument numérique

Autori: Jacob Hart
Pubblicato in: JIM 2020 - Programme, 2020
Editore: Université de Strasbourg

The Fluid Corpus Manipulation Project: past, present, future

Autori: Pierre Alexandre Tremblay
Pubblicato in: CHIME Seminar, 2022
Editore: CHIME Network

Architecture about Dancing: Creating a Cross Environment, Cross Domain Framework for Creative Coding Musicians

Autori: Owen Green, Pierre Alexandre Tremblay, Theodore Moore, James Bradbury, Jacob Hart, Gerard Roma
Pubblicato in: PPIG 2022 – 33rd Annual Workshop (Psychology of Programming Interest Group)., 2022
Editore: The open University

The Cartography and Cartology of a Performance.

Autori: Jacob Hart
Pubblicato in: 56th Royal Music Association Annual Conference (RMA 2020)., 2020
Editore: Goldsmith

A Beautiful Mess: Tales of in-between-ness in SMC research.

Autori: Pierre Alexandre Tremblay
Pubblicato in: Sound and Music Conference, 2020
Editore: University of Torino

Beyond cohabitation: Towards a rich interdisciplinarity in music-technology research

Autori: Pierre Alexandre Tremblay
Pubblicato in: CIRMMT Conference: Le son du futur - Le futur du son, 2022
Editore: McGill University

Enabling Programmatic Data Mining as Musicking: The Fluid Corpus Manipulation Toolkit

Autori: Pierre Alexandre Tremblay, Gerard Roma, Owen Green
Pubblicato in: Computer Music Journal, Numero 45 (2), 2021, Pagina/e 9–23, ISSN 0148-9267
Editore: MIT Press
DOI: 10.1162/comj_a_00600

A General Framework for Visualization of Sound Collections in Musical Interfaces

Autori: Gerard Roma; Anna Xambó; Owen Green; Pierre Alexandre Tremblay
Pubblicato in: Applied Sciences; Volume 11; Numero 24; Pages: 11926, Numero 1, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app112411926

Turn-taking and Online Chatting in Remote and Co-located Collaborative Music Live Coding

Autori: Anna Xambó, Gerhard Roma, Pratik Shah, Takahiko Tsuchiya, Jason Freeman, Brian Magerko
Pubblicato in: Journal of the Audio Engineering Society, Numero 66/4, 2018, Pagina/e 253-266, ISSN 1549-4950
Editore: Audio Engineering Society
DOI: 10.17743/jaes.2018.0024

User-independent Accelerometer Gesture Recognition for Participatory Mobile Music

Autori: Gerard Roma, Anna Xambó, Jason Freeman
Pubblicato in: Journal of the Audio Engineering Society, Numero 66/6, 2018, Pagina/e 430-438, ISSN 1549-4950
Editore: Audio Engineering Society
DOI: 10.17743/jaes.2018.0026

Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases

Autori: Anna Xambó, Gerard Roma, Alexander Lerch, Mathieu Barthet, György Fazekas
Pubblicato in: 2018, Pagina/e 364-369
Editore: Nime-18
DOI: 10.5281/zenodo.1302625

Improving Single-Network Single-Channel Separation of Musical Audio with Convolutional Layers

Autori: Gerard Roma, Owen Green, Pierre Alexandre Tremblay
Pubblicato in: Latent Variable Analysis and Signal Separation, Numero 10891, 2018, Pagina/e 306-315, ISBN 978-3-319-93763-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-93764-9_29

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