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

^*Corresponding author for this work

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

13 Citations (Scopus)

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.

Original language	English
Title of host publication	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages	3816-3819
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2011.5947183
Publication status	Published - 2011
Externally published	Yes
Event	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic Duration: 2011 May 22 → 2011 May 27

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

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

Keywords

Bayesian methods
Source separation
instrument identification
spectrogram

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2011.5947183

Cite this

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 et al.

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).

Research output: Chapter in Book/Report/Conference proceeding › 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 et al. / 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).

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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.",

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

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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.

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

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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