Presentation 1999/2/19
Musical source identification based on frequency component features
Tomoyoshi Kinoshita, Shuichi Sakai, Hidehiko Tanaka,
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Abstract(in English) We have previously proposed a processing model OPTIMA for music scene analysis and implemented its experimental system. However, the system was not robust to signals with overlapped frequency components. In this paper, we present a new method that improves this problem by using overlap pattern of frequency components. Weighted template-matching method is applied to identify sound sources repeatedly to each frequency component cluster. The weight is evaluated according to the significance of each feature of the signal. When multiple components are overlapped, our system adaptively modifies features of an input signal to a combination of overlapped components. The experimental results show that the system can identify sound sources of 60 to 69% of musical notes. It also showed improvement the accuracy about 5%, compared to the result without the proposed mechanism.
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Keyword(in English) Music scene analysis / Sound source identification / Auditory scene analysis / Frequency component feature
Paper # SP98-136
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Committee SP
Conference Date 1999/2/19(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Musical source identification based on frequency component features
Sub Title (in English)
Keyword(1) Music scene analysis
Keyword(2) Sound source identification
Keyword(3) Auditory scene analysis
Keyword(4) Frequency component feature
1st Author's Name Tomoyoshi Kinoshita
1st Author's Affiliation University of Tokyo()
2nd Author's Name Shuichi Sakai
2nd Author's Affiliation University of Tokyo
3rd Author's Name Hidehiko Tanaka
3rd Author's Affiliation University of Tokyo
Date 1999/2/19
Paper # SP98-136
Volume (vol) vol.98
Number (no) 611
Page pp.pp.-
#Pages 6
Date of Issue