WEKO3
アイテム
Parameter Estimation for Harmonic and Inharmonic Models by Using Timbre Feature Distributions
https://ipsj.ixsq.nii.ac.jp/records/60536
https://ipsj.ixsq.nii.ac.jp/records/60536e0d26878-b66d-4e4d-bfea-9282dcbcb83d
名前 / ファイル | ライセンス | アクション |
---|---|---|
![]() |
Copyright (c) 2009 by the Information Processing Society of Japan
|
|
オープンアクセス |
Item type | Journal(1) | |||||||
---|---|---|---|---|---|---|---|---|
公開日 | 2009-07-15 | |||||||
タイトル | ||||||||
タイトル | Parameter Estimation for Harmonic and Inharmonic Models by Using Timbre Feature Distributions | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Parameter Estimation for Harmonic and Inharmonic Models by Using Timbre Feature Distributions | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
主題 | 一般論文 | |||||||
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 | ||||||||
Kyoto University | ||||||||
著者所属 | ||||||||
National Institute of Advanced Industrial Science and Technology (AIST) | ||||||||
著者所属 | ||||||||
Kyoto University | ||||||||
著者所属 | ||||||||
Kyoto University | ||||||||
著者所属 | ||||||||
Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
National Institute of Advanced Industrial Science and Technology (AIST) | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyoto University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyoto University | ||||||||
著者名 |
Katsutoshi, Itoyama
× Katsutoshi, Itoyama
|
|||||||
著者名(英) |
Katsutoshi, Itoyama
× Katsutoshi, Itoyama
|
|||||||
論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | We describe an improved way of estimating parameters for an integrated weighted-mixture model consisting of both harmonic and inharmonic tone models. Our final goal is to build an <i>instrument equalizer</i> (music remixer) that enables a user to change the volume of parts of polyphonic sound mixtures. To realize the instrument equalizer, musical signals must be separated into each musical instrument part. We have developed a score-informed sound source separation method using the integrated model. A remaining but critical problem is to find a way to deal with timbre varieties caused by various performance styles and instrument bodies because our method used template sounds to represent their timbre. Template sounds are generated from a MIDI tone generator based on an aligned score. Difference of instrument bodies between mixed signals and template sounds causes timbre difference and decreases separation performance. To solve this problem, we train probabilistic distributions of timbre features using various sounds to reduce template dependency. By adding a new constraint of maximizing the likelihood of timbre features extracted from each tone model, we can estimate model parameters that express the timbre more accurately. Experimental results show that separation performance improved from 4.89 to 8.48 dB. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | We describe an improved way of estimating parameters for an integrated weighted-mixture model consisting of both harmonic and inharmonic tone models. Our final goal is to build an <i>instrument equalizer</i> (music remixer) that enables a user to change the volume of parts of polyphonic sound mixtures. To realize the instrument equalizer, musical signals must be separated into each musical instrument part. We have developed a score-informed sound source separation method using the integrated model. A remaining but critical problem is to find a way to deal with timbre varieties caused by various performance styles and instrument bodies because our method used template sounds to represent their timbre. Template sounds are generated from a MIDI tone generator based on an aligned score. Difference of instrument bodies between mixed signals and template sounds causes timbre difference and decreases separation performance. To solve this problem, we train probabilistic distributions of timbre features using various sounds to reduce template dependency. By adding a new constraint of maximizing the likelihood of timbre features extracted from each tone model, we can estimate model parameters that express the timbre more accurately. Experimental results show that separation performance improved from 4.89 to 8.48 dB. | |||||||
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 50, 号 7, p. 1757-1767, 発行日 2009-07-15 |
|||||||
ISSN | ||||||||
収録物識別子タイプ | ISSN | |||||||
収録物識別子 | 1882-7764 |