Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling

Katsutoshi Itoyama; Masataka Goto; Kazunori Komatani; Tetsuya Ogata; Hiroshi G. Okuno

doi:10.1109/ICASSP.2011.5947183

Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling

Katsutoshi Itoyama^*, Masataka Goto, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno

^*この研究の対応する著者

研究成果: Conference contribution

13 被引用数 (Scopus)

抄録

This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spectrogram, called an integrated model, is defined and source separation and instrument identification are carried out on the basis of Bayesian inference. Since, the parameter distributions of the integrated model depend on each instrument, the instrument name is identified by selecting the one that has the maximum relative instrument weight. Experimental results showed correct instrument identification enables precise source separation even when many overtones overlap.

本文言語	English
ホスト出版物のタイトル	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
ページ	3816-3819
ページ数	4
DOI	https://doi.org/10.1109/ICASSP.2011.5947183
出版ステータス	Published - 2011
外部発表	はい
イベント	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic 継続期間: 2011 5月 22 → 2011 5月 27

出版物シリーズ

名前	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN（印刷版）	1520-6149

Conference

Conference	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
国/地域	Czech Republic
City	Prague
Period	11/5/22 → 11/5/27

ASJC Scopus subject areas

ソフトウェア
信号処理
電子工学および電気工学

文献へのアクセス

10.1109/ICASSP.2011.5947183

他のファイルとリンク

引用スタイル

Itoyama, K., Goto, M., Komatani, K., Ogata, T., & Okuno, H. G. (2011). Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 3816-3819). [5947183] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2011.5947183

Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling. / Itoyama, Katsutoshi; Goto, Masataka; Komatani, Kazunori その他.
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 3816-3819 5947183 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

研究成果: Conference contribution

Itoyama, K, Goto, M, Komatani, K, Ogata, T & Okuno, HG 2011, Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling. in 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings., 5947183, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 3816-3819, 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague, Czech Republic, 11/5/22. https://doi.org/10.1109/ICASSP.2011.5947183

Itoyama K, Goto M, Komatani K, Ogata T, Okuno HG. Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 3816-3819. 5947183. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2011.5947183

Itoyama, Katsutoshi ; Goto, Masataka ; Komatani, Kazunori その他. / Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling. 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. pp. 3816-3819 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

@inproceedings{4fb044801c1c4693886c1b567788066b,

title = "Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling",

abstract = "This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spectrogram, called an integrated model, is defined and source separation and instrument identification are carried out on the basis of Bayesian inference. Since, the parameter distributions of the integrated model depend on each instrument, the instrument name is identified by selecting the one that has the maximum relative instrument weight. Experimental results showed correct instrument identification enables precise source separation even when many overtones overlap.",

keywords = "Bayesian methods, Source separation, instrument identification, spectrogram",

author = "Katsutoshi Itoyama and Masataka Goto and Kazunori Komatani and Tetsuya Ogata and Okuno, {Hiroshi G.}",

year = "2011",

doi = "10.1109/ICASSP.2011.5947183",

language = "English",

isbn = "9781457705397",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "3816--3819",

booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",

note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",

}

TY - GEN

T1 - Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling

AU - Itoyama, Katsutoshi

AU - Goto, Masataka

AU - Komatani, Kazunori

AU - Ogata, Tetsuya

AU - Okuno, Hiroshi G.

PY - 2011

Y1 - 2011

N2 - This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spectrogram, called an integrated model, is defined and source separation and instrument identification are carried out on the basis of Bayesian inference. Since, the parameter distributions of the integrated model depend on each instrument, the instrument name is identified by selecting the one that has the maximum relative instrument weight. Experimental results showed correct instrument identification enables precise source separation even when many overtones overlap.

AB - This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spectrogram, called an integrated model, is defined and source separation and instrument identification are carried out on the basis of Bayesian inference. Since, the parameter distributions of the integrated model depend on each instrument, the instrument name is identified by selecting the one that has the maximum relative instrument weight. Experimental results showed correct instrument identification enables precise source separation even when many overtones overlap.

KW - Bayesian methods

KW - Source separation

KW - instrument identification

KW - spectrogram

UR - http://www.scopus.com/inward/record.url?scp=80051622215&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80051622215&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2011.5947183

DO - 10.1109/ICASSP.2011.5947183

M3 - Conference contribution

AN - SCOPUS:80051622215

SN - 9781457705397

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 3816

EP - 3819

BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings

T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011

Y2 - 22 May 2011 through 27 May 2011

ER -

Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル