WEKO3
アイテム
Quality-diversity for Synthesizer Sound Matching
https://ipsj.ixsq.nii.ac.jp/records/225384
https://ipsj.ixsq.nii.ac.jp/records/225384ddbe4e84-57ad-4343-9d53-4181035076da
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL6403022.pdf (924.3 kB)
|
Copyright (c) 2023 by the Information Processing Society of Japan
|
|
| オープンアクセス | ||
| Item type | Journal(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-03-15 | |||||||||
| タイトル | ||||||||||
| タイトル | Quality-diversity for Synthesizer Sound Matching | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Quality-diversity for Synthesizer Sound Matching | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [一般論文] Synthesizer, music production, genetic algorithm, quality-diversity algorithm | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者所属 | ||||||||||
| The University of Tokyo | ||||||||||
| 著者所属 | ||||||||||
| The University of Tokyo | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| The University of Tokyo | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| The University of Tokyo | ||||||||||
| 著者名 |
Naotake, Masuda
× Naotake, Masuda
× Daisuke, Saito
|
|||||||||
| 著者名(英) |
Naotake, Masuda
× Naotake, Masuda
× Daisuke, Saito
|
|||||||||
| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Synthesizers have become commonplace in music production due to their ability to create a diverse and unique timbre. However, many users find it difficult to control a synthesizer due to the complexity of the relationship between synthesis parameters and output sound. As such, the sound matching task focuses on the estimation of synthesis parameters that recreate the target sound as closely as possible within the capabilities of the synthesizer. In this paper, we introduce a quality-diversity approach to the problem of sound matching by introducing a novelty objective to genetic algorithm-based sound matching. We show that this QD method allows for the discovery of a collection of matches that are more diverse compared to matches found by standard genetic algorithms. These matches are spread across a space of interpretable spectral features, making it useful for the intuitive discovery of unique and useful matches. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.31(2023) (online) DOI http://dx.doi.org/10.2197/ipsjjip.31.220 ------------------------------ |
|||||||||
| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Synthesizers have become commonplace in music production due to their ability to create a diverse and unique timbre. However, many users find it difficult to control a synthesizer due to the complexity of the relationship between synthesis parameters and output sound. As such, the sound matching task focuses on the estimation of synthesis parameters that recreate the target sound as closely as possible within the capabilities of the synthesizer. In this paper, we introduce a quality-diversity approach to the problem of sound matching by introducing a novelty objective to genetic algorithm-based sound matching. We show that this QD method allows for the discovery of a collection of matches that are more diverse compared to matches found by standard genetic algorithms. These matches are spread across a space of interpretable spectral features, making it useful for the intuitive discovery of unique and useful matches. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.31(2023) (online) DOI http://dx.doi.org/10.2197/ipsjjip.31.220 ------------------------------ |
|||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00116647 | |||||||||
| 書誌情報 |
情報処理学会論文誌 巻 64, 号 3, 発行日 2023-03-15 |
|||||||||
| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1882-7764 | |||||||||
| 公開者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
