Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis

Michael Zbyszyński; Balandino Di Donato; Federico Ghelli Visi; Atau Tanaka

doi:10.1007/978-3-030-70210-6_39

Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis

Michael Zbyszyński^*, Balandino Di Donato, Federico Ghelli Visi, Atau Tanaka

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (SciVal)

Original language	English
Title of host publication	Perception, Representations, Image, Sound, Music - 14th International Symposium, CMMR 2019, Revised Selected Papers
Editors	Richard Kronland-Martinet, Sølvi Ystad, Mitsuko Aramaki
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	600-622
Number of pages	23
ISBN (Print)	9783030702090
DOIs	https://doi.org/10.1007/978-3-030-70210-6_39
Publication status	Published (VoR) - 2021
Event	14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019 - Marseille, France Duration: 14 Oct 2019 → 18 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12631 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019
Country/Territory	France
City	Marseille
Period	14/10/19 → 18/10/19

Funding

Acknowledgments. The research leading to these results has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 789825).

Keywords

Concatenative synthesis
Gestural interaction
Human-computer interaction
Interactive machine learning
Reinforcement learning
Sonic interaction design

Access to Document

10.1007/978-3-030-70210-6_39

Cite this

Zbyszyński, M., Di Donato, B., Visi, F. G., & Tanaka, A. (2021). Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis. In R. Kronland-Martinet, S. Ystad, & M. Aramaki (Eds.), Perception, Representations, Image, Sound, Music - 14th International Symposium, CMMR 2019, Revised Selected Papers (pp. 600-622). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12631 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-70210-6_39

Zbyszyński, Michael ; Di Donato, Balandino ; Visi, Federico Ghelli et al. / Gesture-Timbre Space : Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis. Perception, Representations, Image, Sound, Music - 14th International Symposium, CMMR 2019, Revised Selected Papers. editor / Richard Kronland-Martinet ; Sølvi Ystad ; Mitsuko Aramaki. Springer Science and Business Media Deutschland GmbH, 2021. pp. 600-622 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis",

keywords = "Concatenative synthesis, Gestural interaction, Human-computer interaction, Interactive machine learning, Reinforcement learning, Sonic interaction design",

author = "Michael Zbyszy{\'n}ski and \{Di Donato\}, Balandino and Visi, \{Federico Ghelli\} and Atau Tanaka",

note = "Funding Information: Acknowledgments. The research leading to these results has received funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation programme (Grant agreement No. 789825). Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019 ; Conference date: 14-10-2019 Through 18-10-2019",

year = "2021",

doi = "10.1007/978-3-030-70210-6\_39",

language = "English",

isbn = "9783030702090",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "600--622",

editor = "Richard Kronland-Martinet and S{\o}lvi Ystad and Mitsuko Aramaki",

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}

Zbyszyński, M, Di Donato, B, Visi, FG & Tanaka, A 2021, Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis. in R Kronland-Martinet, S Ystad & M Aramaki (eds), Perception, Representations, Image, Sound, Music - 14th International Symposium, CMMR 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12631 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 600-622, 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019, Marseille, France, 14/10/19. https://doi.org/10.1007/978-3-030-70210-6_39

Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis. / Zbyszyński, Michael; Di Donato, Balandino; Visi, Federico Ghelli et al.
Perception, Representations, Image, Sound, Music - 14th International Symposium, CMMR 2019, Revised Selected Papers. ed. / Richard Kronland-Martinet; Sølvi Ystad; Mitsuko Aramaki. Springer Science and Business Media Deutschland GmbH, 2021. p. 600-622 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12631 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zbyszyński, Michael

AU - Di Donato, Balandino

AU - Visi, Federico Ghelli

AU - Tanaka, Atau

N1 - Funding Information: Acknowledgments. The research leading to these results has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 789825). Publisher Copyright: © 2021, Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

KW - Concatenative synthesis

KW - Gestural interaction

KW - Human-computer interaction

KW - Interactive machine learning

KW - Reinforcement learning

KW - Sonic interaction design

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Zbyszyński M, Di Donato B, Visi FG, Tanaka A. Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis. In Kronland-Martinet R, Ystad S, Aramaki M, editors, Perception, Representations, Image, Sound, Music - 14th International Symposium, CMMR 2019, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 600-622. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-70210-6_39

Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis

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