Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders

MacIej Tomczak; Masataka Goto; Jason Hockman

doi:10.1145/3394171.3413519

Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders

MacIej Tomczak, Masataka Goto, Jason Hockman

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

6 Citations (SciVal)

Original language	English
Title of host publication	MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
Publisher	Association for Computing Machinery
Pages	2427-2435
Number of pages	9
ISBN (Electronic)	9781450379885
DOIs	https://doi.org/10.1145/3394171.3413519
Publication status	Published (VoR) - 12 Oct 2020
Event	28th ACM International Conference on Multimedia, MM 2020 - Virtual, Online, United States Duration: 12 Oct 2020 → 16 Oct 2020

Publication series

Name	MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia

Conference

Conference	28th ACM International Conference on Multimedia, MM 2020
Country/Territory	United States
City	Virtual, Online
Period	12/10/20 → 16/10/20

Funding

This work was supported in part by JST ACCEL Grant Number JPMJAC1602.

Funders	Funder number
Japan Science and Technology Agency	JPMJAC1602

Keywords

adversarial autoencoders
neural drum synthesis
rhythmic transformation

Access to Document

10.1145/3394171.3413519

Cite this

Tomczak, M., Goto, M., & Hockman, J. (2020). Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders. In MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (pp. 2427-2435). (MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia). Association for Computing Machinery. https://doi.org/10.1145/3394171.3413519

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title = "Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders",

keywords = "adversarial autoencoders, neural drum synthesis, rhythmic transformation",

author = "MacIej Tomczak and Masataka Goto and Jason Hockman",

note = "Funding Information: This work was supported in part by JST ACCEL Grant Number JPMJAC1602. Publisher Copyright: {\textcopyright} 2020 ACM.; 28th ACM International Conference on Multimedia, MM 2020 ; Conference date: 12-10-2020 Through 16-10-2020",

year = "2020",

month = oct,

day = "12",

doi = "10.1145/3394171.3413519",

language = "English",

series = "MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia",

publisher = "Association for Computing Machinery",

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Tomczak, M, Goto, M & Hockman, J 2020, Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders. in MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia. MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia, Association for Computing Machinery, pp. 2427-2435, 28th ACM International Conference on Multimedia, MM 2020, Virtual, Online, United States, 12/10/20. https://doi.org/10.1145/3394171.3413519

Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders. / Tomczak, MacIej; Goto, Masataka; Hockman, Jason.
MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia. Association for Computing Machinery, 2020. p. 2427-2435 (MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia).

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

TY - GEN

T1 - Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders

AU - Tomczak, MacIej

AU - Goto, Masataka

AU - Hockman, Jason

PY - 2020/10/12

Y1 - 2020/10/12

KW - adversarial autoencoders

KW - neural drum synthesis

KW - rhythmic transformation

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DO - 10.1145/3394171.3413519

M3 - Conference contribution

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T3 - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia

SP - 2427

EP - 2435

BT - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia

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T2 - 28th ACM International Conference on Multimedia, MM 2020

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ER -

Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders

Publication series

Conference

Funding

Keywords

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